Analytics ETL Services
| Daemon | Instances | Memory (Small/Default) | Memory (Med) | Memory (Large) | Config Options |
| ZenEvent ETL | 1 | 500 MB | 500 MB | 500 MB | |
| ZenModel ETL | 1 | 1 GB | 1 GB | 1 GB | |
| ZenPerf ETL | 1 | 1 GB | 4 GB | 4 GB | If the zenperfetl logs indicate that the service is waiting for the cache (i.e., zenperfetl batches don't start 15 minutes after the hour), you can add instances of the service to assist in invalidation processing. Note, only instance 0 performs the ETL process; there is no way to make anything go faster. |
These three services are all written in Python. As such, the RAM requested value in Control Center will only be used to determine which delegate host in a resource pool to assign the service to.