Performance and Sizing Data
This page provides an example of sizing and performance for Context Services in a GMS deployment.
|CPU||~20% to 60%||Each node was around an average of 30% with peaks to 60% from time to time.|
|Database size||68 GB / node (after 120h) = 272 GB||272 GB corresponds to 16.5 M conversations or 264 M service/state/task events, for a ratio of 0.54KB per conversation (1 service, 5 states, 10 tasks).|
|I/O Disk||~3 MB /s (Cassandra measure)||Disk I/Os are fluctuating a lot (between 0 MB/s and 20 MB/s)|
|I/O Network||~3 MB /s||Between 20Mbps and 60Mbps.|
|Memory||2.4GB||For each GMS processes. Less than 2 GB for Cassandra processes.|
|Size of conversation (1 service, 5 states, 10 tasks)||~10kB in JSON||This matches a conversation (1 service, 5 states, 10 tasks), for 33 REST queries events, including extension data returned with queries by CustomerId.|
|Throughput|| ~1000 queries/s
|Constant through 24 hours of testing|
This page was last modified on 27 April 2017, at 03:03.