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96 × Eureka!ok thanks, will need to run some tests later
pi {
# Notice: 'host' is the api server (default port 8008), not the web server.
api_server: http://vmd63828.contaboserver.net:30008
web_server: http://vmd63828.contaboserver.net:30080
files_server: http://vmd63828.contaboserver.net:30081
..}
also the webserver pods log contains entries
Thanks for the twiitter tweet.
The credentials are already deleted
file_server not(py38) wgo@NVidia-power:~/dev/Trains/trains$ curl
`
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2 Final//EN">
<title>405 Method Not Allowed</title> <h1>Method Not Allowed</h1> <p>The method is not allowed for the requested URL.</p> `
redis, mongo and elasticsearch looks also ok
AgitatedDove14 The problem I have with getting the ingress running ... seems to be caused by the fact that I'm running rancher in single node mode (using a docker image ...) where the port 80 is already in use so the webservice (WebUI) of trains cannot be mapped to the same port ...
Nevertheless I will continue with a real Kubernets cluster installation and try to get Trains + additional own agents running on it 😉
thanks so far for the support you provided. I will try to collect the i...
AgitatedDove14 unfortunately I still have issues with the plot. After removing the first row I get a wierd empty remote plot where the axis is a counter instead of a date. Seems not to be clearml related and I need to get more in touch with plotly to analyze it.
Hi Martin,
you are right. The Trains-agent is running with option cpu-only
` (py38) wgo@NVidia-power:~/dev/catwalk$ docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS
NAMES
b99d5103a43c allegroai/trains-agent-services:latest "/usr/agent/entrypoi…" 2 days ago Up 2 days
...
- how can I enable the tensorboard and have the graphs been stored in trains?
regarding the clean-up servide, do I need to run this as cron job, or does the trains server support a kind of add-ons where I need to copy the script to?
ok, thanks. This is enough information. You don't need to check how much space is provided to the accounts
or do you mean the machine I ran the experiment locally?
the ports, I'm not sure about
I'm quite new to Kubernetes. What I have found is that the ports I expected, are used
` root@vmd62521:~# kubectl get services -n trains
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
mongo-service ClusterIP 10.43.99.44 <none> 27017/TCP 25h
webserver-service NodePort 10.43.49.21 <none> 80:30080/TCP 25h
redis ClusterIP 10.43.62.222 <none> 6379/TCP 25h
elasticsearch-service Clust...
As I have to configure my router to forward the requests to my local server, I need to know the ports and protocoll settings (I expect TCP not UDP) I have to configure
😞 when editing the composistion to use the configured host ip as apiserver the queued work is never processed 😞
seems I'm wrong. The queues are there, but the workers are not
regarding the list of agents, yes, the one additional I added I can see in the list
to be honest, I don't know if I will find it as it is a Kubernetes cluster (ok only 2 nodes) and might be installed to somewhere ...
I will check if I will find any trains configs on the systems, but they should be the defaults comming with the Helm installer
Does this differ to what I send earlier?
AgitatedDove14 so far not, I just reuse the docker image as it is, and it is not using the gpu parameter at all. It will be the next step to create an own image running the agent with this parameter, but than I faced the error messages and the url http://apiserver:8008 which I don't understand
AgitatedDove14 the reason I'm asking is that I'm going to run the server in my home network and would like to run agents on virtual servers I run on a VPS provider.