The SymantecDLPDetectionServerController service* on Enforce may use more memory in later versions of DLP than in earlier ones. The memory usage is dependent on a number of factors:
In general, large deployments may run into a need for more memory for the Detection Server Controller.
*Note - in previous versions of DLP, this service was known as the Monitor Controller.
Perhaps you are seeing frequent "RSODs" (a red bar error appearing in Enforce Server), with the following detail:
In many cases, the addition of a second or third Cloud Detector puts these detection servers into a "Disconnected" state - usually resolved by recycling the Detection Server Controller service.
All supported versions of DLP.
Based on load and conditions listed, the DetectionServerController (aka MonitorController) would benefit from tuning for better performance.
To increase the memory for the Monitor Controller, modify your installation as per the following:
In supported versions, update SymantecDLPDetectionServerController.conf file, located by default in this DLP directory:
Below are the current defaults for all supported versions (15.8 and 16.0 as of 2023):
# Initial Java Heap Size (in MB) wrapper.java.initmemory=1024 # Maximum Java Heap Size (in MB) wrapper.java.maxmemory=2048
For specific recommendations, see the following Help Center topics:
The recommendations on that page cover the "maxmemory" setting. In general, the "initmemory" should be 50% of that.
Per the examples, for a medium installation of DLP, the following settings are recommended:
# Initial Java Heap Size (in MB)
# Maximum Java Heap Size (in MB)
For suggestions about which size installation you have, see The Effect of Scale on System Requirements (broadcom.com).
After making the above changes, be sure to restart the SymantecDLPDetectionServerController process or service.
Note: Be sure to confirm the amount of memory installed on the server before modifying beyond above recommendations.
Sometimes the following errors are present for the performance issues given in this KB, but the absence of these errors does not mean performance issues do not exist.
SEVERE: Could not reload command instructions
java.lang.OutOfMemoryError: GC overhead limit exceeded
Exception in thread "Incidents_application_updaterWorker_1" java.lang.OutOfMemoryError: Java heap space