going to the server URL:8080 -> old trains login (working as usual if I enter my credentials) -> Ctrl-F5 -> switched to the new interface
(and I didn't use the -f
switch since it wasn't in the instructions, and I'm not familiar with dockers all that much)
and I didn't use the
-f
switch since it wasn't in the instructions
Are you sure this was not in the instructions? I'm going over them now and I see -f
everywhere. If its missing, please point me there and I'll fix it
Hi MinuteWalrus85 .
looks like port 8081 is in use, can you check it? docker ps
will output you the running dockers (with the ports)
after upgrade - if I go to the url and ending with :8080 I get the old "trains" welcome page
but if I just enter the URL with ending :8080 it takes me to the old login
docker ps
will also show any other containers still running (old Trains Server?)
if I add :8080/login I get the new "clearML" welcome page
SuccessfulKoala55 in step 1. it isn't written
it turns out that my docker-compose.yml
wasn't in the environment path, so when I first ran the down
command, it had no effect
I think you have the page cached - can you try reloading using
Ctrl-F5
?
using Ctrl-F5 it redirects to the ClearML new login
I think you have the page cached - can you try reloading using Ctrl-F5
?
when running the docker ps
command the output is empty
Hi MinuteWalrus85 ,
From your description I'm pretty sure you didn't shut down at least parts of the old server still running. Both the fact that the 8081
port is not free, as well the fact that you can still access the WebUI after shutting down...
Before starting this upgrade, did you shut down the old Trains Server using sudo docker-compose -f /opt/trains/docker-compose.yml down
?
So it means the old WebApp is still in cache...
meaning the browser or in the server?
Thanks Jake, clearing the Cache did the trick! thank you so much for your assistance!
So it means the old WebApp is still in cache...
after running docker ps
I saw that all the ports are still listed. I then changed the name of /opt/clearml
back to /opt/trains
and ran the command sudo docker-compose -f /opt/trains/docker-compose.yml down
and it did the trick