Hi, I have DataHub v0.10.4 deployed using Helm charts with GKE. I do not have DataHub standalone consumers enabled which is the default, meaning I have a single pod of GMS running with no separate MAE/MCE consumers. Now with growing data and usage I see that my GMS is responding slowly over a period of time. I am thinking of scaling it up instead of increasing the cpu/memory resources on the same pod. But increasing replicaCount is not allowed when

.Values.global.datahub_standalone_consumers_enabled: false

What is the best way to scale my DataHub GMS backend? • Increase resources for the current GMS deployment? • should I enable standalone consumers and increase the replicaCount? ◦ What is that I should concern about MAE/MCE configuration? Any experience/advice on this area is highly appreciated. Thanks 🙂

Hi, either way is possible - if you search the slack, there are a few users that have done this. This threads may be helpful : https://datahubspace.slack.com/archives/C029A3M079U/p1680774434545949 https://datahubspace.slack.com/archives/CV2KB471C/p1652964441665709 https://datahubspace.slack.com/archives/CV2UVAPPG/p1626895322002800

Thanks for sharing links 👍