To optimize the performance
of the metadata server, you might want to adjust the maximum number
of threads used by the server. See Configuring the Number of Threads Used by the Metadata Server in SAS Intelligence Platform: System Administration Guide. For other performance-related tasks, see Managing Metadata Server Memory in SAS Intelligence Platform: System Administration Guide.
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The following are some
server configuration changes that you might want to make for performance
optimization or other reasons:
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For information about
configuring middle-tier components for better efficiency and performance, see Best Practices for Middle-Tier Configuration in SAS Intelligence Platform: Middle-Tier Administration Guide.
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You can change your
server configurations to obtain additional logging information for
troubleshooting, performance management, or other purposes. For details,
see Administering Logging for SAS Servers in SAS Intelligence Platform: System Administration Guide and SAS Logging: Configuration and Programming Reference.
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To process large amounts
of data, you might need to modify the Java heap memory allocation
that is configured for SAS Management Console, SAS Data Integration
Studio, SAS OLAP Cube Studio, and SAS Information Map Studio. For details, see Managing the Java Heap Used By Desktop Applications in SAS Intelligence Platform: Desktop Application Adminstration Guide.
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If you want to implement
change management for SAS Data Integration Studio, then you must set
up project repositories and at least one change-managed folder. For details,
see Administering SAS Data Integration Studio in SAS Intelligence Platform: Desktop Application Adminstration Guide.
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If you want to collect
ARM log information for SAS Data Integration Studio jobs that are
run on a batch basis, then you must enable logging for the batch server
that executes the jobs. For details, see Collecting ARM Log Information for SAS Data Integration Studio Jobs in SAS Intelligence Platform: System Administration Guide.
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