Usage scenarios


This topic contains usage scenarios for BMC AMI Capacity Reporting features.


Aggregating object data inside the SQL server or Oracle database engine

When you select one or several filters in Aggregate selections, or when a specific set of filter values correspond with several objects, the metrics for these objects are aggregated together. For example, filters in the Aggregated CPC KPIs category define only the CPC. Data for this category is displayed in the LPAR table, so multiple LPAR metrics are selected and aggregated together for each interval.

Aggregating the time-series measurement data into different levels of granularity in the RDBMS 

The following data granularity options on the Add Report View panel (in addition to the Measured option), it is now possible to aggregate the time-series measurement data: 

  • Measured as Hourly (Disabled if DURN=60)—Aggregates the measured data for each selected hour into a single interval
  • Measured as Daily—Aggregates the measured data for each selected day into a single interval
  • Measured as Weekly—Aggregates the measured data for each selected week into a single interval. A week is a 7-day period starting on Sunday.
  • Measured as Monthly—Aggregates the measured data for each selected month into a single interval
  • Measured as One Span—Aggregates the measured data for the entire selected span into a single interval

When you select one of these options, the generated Query SQL performs aggregation inside the RDBMS. This drastically improves query performance, making it possible to create multi-year, monthly, or weekly charts. For each of the these options, you can select either Dynamic or Fixed Date Timespan.

When you select one of these Data-Granularity options, an additional field—Time Range is displayed, in which you can select only specific hours for each selected day. For example, if you select 08:00 A.M. to  04:00 P.M. in the Time Range field, only 8 hours of measurements are aggregated for each day. 

You can specify the Start time after the End time to effectively exclude certain hours of the day from aggregation. For example, if you select 04:00 P.M. to 08:00 A.M. in the Time Range field, only hours from 00:00 A.M. to 08:00 A.M. and 04:00 P.M. to 11:59 P.M. are aggregated for each selected day, effectively excluding hours 08:00 A.M. to 04:00 P.M.

Each aggregated interval (hour, day, or week) is marked by the date and time of the first measurement interval.

The Measured as One Span option produces a single aggregated value for each object and metric combination. Because the aggregation results in a single value, the chart must be a Bar chart or Stacked Bar chart

The Measured as One Span option can provide very interesting data for analysis. For example, using this option with the Last N Business Weeks dynamic date span, and a 09:00 A.M. to 10:00 A.M. time span, you can compare the average activity of multiple Applications during the opening hour of a stock market.

Important

All the Measured as options in the Data-Granularity field to let you compare average aggregated values in each aggregated interval with minimum and maximum values during this interval. 

Using Category Viewer panel

The Add Category panel has many features. When you click any intermediate level of the Category (for example, CPU, LPARs, or the Workloads), the right pane displays a brief description of that level or sub-level of the Category tree. When you click an individual category, a list of metrics and their descriptions are displayed. You can also see the descriptions for all calculated metrics.

To optimize the search results, the Search function is now combined with category and metric selections. When you specify a search, the Category tree is narrowed down to only those branches, categories, and metrics that satisfy the search condition. Search options are now extended to include:

  • Whole word only
  • From current Folder
  • Include Folder Names
  • Include Category Description
  • Include Metric Name (default)
  • Include Metric Description

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Comparing data by using the same category multiple times in a View

You can use a category multiple times in the same View using different groups of objects, or different levels of aggregation.

For example, it is possible to use the General Purpose Processors LPAR twice. In the first instance, you can select a group of production LPARs, and in the second instance you can select all the LPARs on this CPC and aggregate them into one CPC object. BMC AMI Capacity Reporting 2.2 automatically adds -n to additional instances of the same category.

You can rename the category name by clicking Edit image2022-6-27_15-41-14.png. Press Enter when you have finished editing.

The changed name exists only in this View and does not affect the native category name.

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Comparing data by using the minimum and maximum band range

In the Data-Granularity field, when you select one of the Measured as options, such as Measures as Daily, Measures as Daily, or Measures as Daily, the statistical band characteristics are replaced by minimum and maximum values for each aggregated interval.

To display the minimum and maximum band, click Min/Max.

Important

The Min/Max band can be displayed for only one Object per Metric at a time.

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Managing Data Grouping by using the Chart package

The third-party Chart package that BMC AMI Capacity Reporting uses automatically compares the number of points on the chart with available resources in your browser. When the number of points exceeds the capabilities of the Chart package for a given amount of resources, the Chart package automatically groups several sequential points into one. You can use the new Data-Grouping control on the More Actions panel to select the grouping algorithm by using the Maximum (default), Average, or Minimum value of the group.

Important

It is important not to confuse the Min/Max band capability for Measured as granularity options with the Minimum, Average, and Maximum settings for Data-Grouping.

The former calculates the minimum, average, and maximum in the SQL Server or Oracle Database engine for Aggregated Data Granularity, while the latter is a function of the Chart package.

The date/time legend in the chart view and in the chart tool-tip indicate whether a data grouping is in effect.

 

Tip: For faster searching, add an asterisk to the end of your partial query. Example: cert*