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533 × Eureka!this is the full one TimelyPenguin76
Yep, the trains server is basically a docker-compose based service.
All you have to do is change the ports in the docker-compose.yml file.
If you followed the instructions in the docs you should find that file in /opt/trains/docker-compose.yml and then you will see that there are multiple services ( apiserver , elasticsearch , redis etc.) and in each there might be a section called ports which then states the mapping of the ports.
The number on the left, is ...
AgitatedDove14 I really don't know how is this possible... I tried upgrading the server, tried whatever I could
About small toy code to reproduce I just don't have the time for that, but I will paste the callback I am using to this explanation. This is the overall logic so you can replicate and use my callback
From the pipeline task, launch some sub tasks, and put in their post_execute_callback the .collect_description_tables method from my callback class (attached below) Run t...
Okay, so let me get this straight
The autoscaling is basically an ever-running task (lets say on the services queue). Now, the actual auto scaling and which queues exist have nothign to do with that, and are configured in the auto scale task?
Now I remind you that using the same credentials exactly, the auto scaler task could launch instances before
AgitatedDove14 sorry for delayed reply - where do I read the version the Cleanup Service is using?
I think I got it, I'll ping her again if it won't succeed
later today or tomorrow, I'll update
no this is from the task execution that failed
I'll tr yto work with that
Confirmed working 😄
Do you have any idea as to why does that happen SuccessfulKoala55
I was sure you are on Israel times as well, sorry for the night time thing 😄
And yes, it makes perfect sense, thanks for the answer
TimelyPenguin76
and when looking at the running task, I still see the credentials
Depending on where the agent is, the value of DATA_DIR might change
AgitatedDove14 just a reminder if you missed this question 😄
