Hi @<1523701205467926528:profile|AgitatedDove14>
Actually trying to understand) does clearml infrastructure better than common popular stack like dvc/lakefs + mlflow + cubeflow/airflow)

yes) thanks)

@<1523701205467926528:profile|AgitatedDove14> Thank you for the answer! So i will be able to log everything in the same grafana ? and i dont need to run another docker-compose with new clearml inference ?)

but im not sure that it will works(

@<1523701205467926528:profile|AgitatedDove14> yes)

@<1523701205467926528:profile|AgitatedDove14> Looks like it’s not so easy((( i run model in independent container… but cant find metrics in grafana( should i add this service into docker-compose ? or what? if i should add it into docker-compose how can i add new models without rebuild whole docker compose ? or i just need to add configs into env of my dockerfile ?

![image](https://clearml-web-...

@<1523701205467926528:profile|AgitatedDove14> and should i open ports ? or maybe just add network into my new model ? can’t understand what to do(



![image](https://clearml-web-assets.s3.amazonaws....

@<1523701205467926528:profile|AgitatedDove14> Yes) for first two models running in first env) i have) im logging outputs and inputs for this two models)

@<1523701205467926528:profile|AgitatedDove14> thanks) actualy im already solved the problem) just build another docker-compose (only with clearml-inference) with external network) conected to first docker-compose) where im running whole bunch of containers with grafana and prometeus) and now im able to use 2 diff envs in 2 diff containers) but logging in the same prometeus and grafana)

and its cool that we have here kafka and so on but looks like i dont use it when i just build container with another environment

i can get predictions from container but not able to use whole tool stack(

i can run clearml-serving-infernece in another docker-compose and use network and environment from main clearml-serving docker-compose

looks like there should be something that i cant find to make it more finished

@<1523701205467926528:profile|AgitatedDove14> Hi! Once again)
No( im able to run pipeline only with method .run_locally()(
I can start the task but every time get an error(