Hi Splunk Community, I'm currently running a 7-node UBA deployment and encountering persistent errors with the `caspida-realtimeruleexec` service. The service fails to respond in the UBA Health Monitor UI, and upon checking the logs at: /var/vcap/sys/log/caspida/ruleengine/realtimeruleexecutor.log : I see the following error: java.lang.OutOfMemoryError: Java heap space When inspecting the JVM options in the `/opt/caspida/bin/CaspidaCommonEnv.sh` file, I found that the heap size was set as: -Xmx4M This seems too low for a rule executor component. My node has around 64 GB of RAM and ~34 GB free memory available (`free -m` confirms this). I am planning to increase the heap size to `-Xmx8192m`. ### My Questions: 1. Is this the correct cause of the crash? 2. Is it safe and recommended to increase the heap size to 8 GB or more for `caspida-realtimeruleexec` in a 7-node cluster? 3. Are there any best practices or official docs on tuning JVM heap for this component? 4. Should I also consider increasing other services' heap sizes? Thanks in advance for your help!
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