Analysis and Model sizing scalability best practices

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    Analysis and Model "sizing" best practices


    TrueSight Capacity Optimization 11.5, 11.4. 11.0, 10.7
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    BMC Capacity Optimization 9.5, 9.0, 4.5

    Could you please also share some best practice related to number of nodes in single report or models?




    Legacy ID:KA393478


    * TSCOoffers the "Domain" concept to group IT resources by Service, type, technology, platform, purpose, location or other custom grouping

    * it is recommended to organize Domains in such a way that a single domain contains <250 entities (systems/business drivers)

    * For analysis/models,
    - if they are created inside a Domain, they generally include <250 entities
    - if they use Entity filters that span across multiple Domains, they can have more entities. It is recommended to keep the number of entities in an Analysis/Model <1000 systems

    * If an Entity filter is defined in such a way that it contains 1000+ systems, it is recommended to create an Entity filter that subsets the number of entities considered by combining multiple conditions. For example, if the filter tag:PROD contains too many systems, you can create a new one with tag:PROD AND tag:NY.
    If the combination of entity filters results too complex and the Domain structure does not help, you can as a last possibility create Entity filters that use alphabetical filtering of system name, for example name:{sys:a* OR sys:b* OR sys:c*}

    * In an Analysis, by default the chart number will be limited to 25. You can modify this setting by editing the Analysis, considering that it will influence the time elapsed for analysis execution. For example, by combining a chart By Metric with a TOP-N options, you can create charts that represent the most critical systems in the set.

    * Models containing more than 250 entities, it is recommended not to include more than 5 metrics per entity


    * In a Model that spans across 100+ entities, it is recommended to set the option "generate charts only when saturation occurs" so that only critical forecasts are producing a chart and the overall execution time is limited.


    * In general, a part from particular detail needs on forecasted/analyzed data, models/analysis using more than 6 months of data should use daily or weekly data (not hourly)

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