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[🐛 Bug]: High level of Workload memory usage #2336
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@EvgenyMarchuk, thank you for creating this issue. We will troubleshoot it as soon as we can. Info for maintainersTriage this issue by using labels.
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Hi, thanks for your report. Can you also provide the cluster capability (CPU, memory) used? |
Standard_E8as_v4(8 cores/64Gb memory) |
Looks like it relates to this #2312 - Distributor is a component in part of Hub (in Hub-Node mode) |
If I'm not mistaken, I had the same issue |
What happened?
Hi all!
I have been trying to deploy selenium grid via helm chart v0.33.0 and noticed high level of workload memory usage.
In this case, azure runs autoscaling and adds a second machine to kubernates when we run tests.
I loaded selenium using kubernates helm chart by changing the following parameters:
kubernates version 1.29.5
chart 0.33.0
selenium images latest
It's probably not a defect, but I need to figure out what's going wrong.
Thanks!
Command used to start Selenium Grid with Docker (or Kubernetes)
Relevant log output
Operating System
Kebrnates(Azure)
Docker Selenium version (image tag)
latest
Selenium Grid chart version (chart version)
0.33.0
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