CostlyOstrich36 Help me, please 😄

I'm really confused when choosing a framework to build our end2end MLOps Platform.

What's that mean? can you give me an example

I want to build end2end mlops platform, so i just use only clear-agent natanM?

I see two versions: clearml and clearml-agent

I think the pipeline in ClearML like ML Workflow than pipleline from other frameworks

In this tutorial, you don't use pipelineController to define workflow to train model.

from data versioning, model serving, model experiment

like docker or K8s?

That means

but

Can you give me some advices?

Thank you

I really like ClearML

Yes, I run pipeline from function and this is the error message:
"ValueError: Could not find queue named "services""

Hmm

So what does the connection between two pipelines mean here?

And I confused about it

Sorry

I feel ClearML is an end-to-end MLOps platform

right?

I am thinking that ClearML Agent like K8s?

Thank you

I really don't understand about orchestration

can you explain simpler?

Thank you CostlyOstrich36 , but I don't see you implement pipeline workflow to train model.

I don't really understand about remote execution

and PipelineController is the task control, right natanM

😄 Yes

That means I can use ClearML Agent instead of Kubernetes, right?