Open EvgenyMarchuk opened 3 months ago
@EvgenyMarchuk, thank you for creating this issue. We will troubleshoot it as soon as we can.
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Thank you!
Hi, thanks for your report. Can you also provide the cluster capability (CPU, memory) used?
Standard_E8as_v4(8 cores/64Gb memory) Standard_D8as_v4(8 cores/32Gb memory) and v5 version with 8 cores and 64Gb memory After deploying the workload, memory usage has increased by more than 35% over 35% of availabel memory, but usage is around 10%. You can find some information on the attached pictures. The behavior is the same for different clasters/machines. Big eaters Distributor, Router, SessionQueue.
Looks like it relates to this https://github.com/SeleniumHQ/docker-selenium/issues/2312 - Distributor is a component in part of Hub (in Hub-Node mode)
As per comment, there is a fix in Nightly build. If have time, can you refresh the setup with image tag nightly
for all components and evaluate this? Then we can have fast feedback if anything can be fixed further
If I'm not mistaken, I had the same issue I'll check it out!
There is some Error when I install 0.33.0 version of helm chart. Error without description
After upgrade nightly
, workload memory usage is the same high
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