Closed rakelkar closed 5 years ago
@ellis-bigelow @cliveseldon @animeshsingh @yuzisun @aronchick
+1 - the reality is that the KFServing spec can (and will) be implemented by platforms that are not KF. So MLServing really is a better term.
+1, it is good timing to change the name.
Pros:
Cons:
So IMHO, we don't gain much.....
Unless.....
and this brings me to the larger discussion I had with @jlewi that we shall probably strive to discuss naming consistency around Kubeflow portfolio
MLTraining (Katib, TFOperator, PyTorch Operator), MLPipelines, MLMetadata, MLNotebooks, and MLServing (Or all are KF...)
cc @abhi-g @jlewi
+1 if we push to be standalone component used by but not dependant on Kubeflow. But for this to be a reality we would need to have looser ties to kubeflow releases which brings up wider questions.
Also, would help make clear the spec could have alternative implementations or extensions that are not kubeflow focused and definitely help promote it wider.
I'm mostly in agreement with Animesh here, but can see both arguments. Is the name actively blocking anything?
@animeshsingh and @theadactyl - in my opinion, the fact that KFServing (as an API) will be used by non-KF platforms (two that we know about already) means the name is already out of date :)
I had always thought of KFserving being two things - one, a spec for an API for serving and two, an implementation of that spec, in the KFServing CRD.
I don't think ML Pipelines makes sense - it's Kubeflow Pipelines mostly because there's only one implementation of it. I DO agree there should be an MLTraining, MLDataSet, MLModelPackage... specs though.
Especially if we're able to align the ML* with the MLSpec project - whenever we're able to get that officially going - I think the alignment works great!
@theadactyl to your point about blocking, I just think it's confusing. If you have a hosted service (e.g. Sagemaker) support KFServing API - does that mean it's running KF under the hood? Doesn't feel like it should be a requirement - it's just an implementation detail at that point.
Thanks @aronchick - which are the two non-KF platform leveraging KFServing API? Also Pipelines is also working towards a CRD based approach last I heard, and supporting backend implementations through Argo, Airflow etc.
Now that you bring up the API spec itself being standard, and possible alignment with MLSpec project. , then this discussion makes more sense to me
But again, as you mentioned, that would be a great goal we should strive for other projects in ecosystem as well
@animeshsingh i don't think anyone is ready for public statements (yet) - but they're very real.
I can't speak to pipeline's future - but we know of several other steps which are working towards standards now (e.g. dataset, packaging, training - all the stuff in MLSpec). So this renaming does feel like a nice first step.
@aronchick This is helpful, thanks! @rakelkar I'd recommend creating a proposal with goals, pros and cons to the rename to provide a better place for discussion and feedback. This is a good prompt for me to get our proposal pipeline set up. :)
Is this about KFServing -> MLServing (the repo) or KFService -> MLService (the api)
the latter please 🙂
KFServing should stay in KFServing as an implemenation of MLService 🙂 (maybe we change the name to KFService?)
From: Ellis Bigelow notifications@github.com Sent: Tuesday, August 27, 2019 3:24 PM To: kubeflow/kfserving kfserving@noreply.github.com Cc: David Aronchick David.Aronchick@microsoft.com; Mention mention@noreply.github.com Subject: Re: [kubeflow/kfserving] Discuss: Rename KFServing to MLServing (#317)
Is this about KFServing -> MLServing (the repo) or KFService -> MLService (the api)
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thanks for that clarification. this is making more sense now.
On Tue, Aug 27, 2019 at 3:41 PM David Aronchick notifications@github.com wrote:
the latter please 🙂
KFServing should stay in KFServing as an implemenation of MLService 🙂 (maybe we change the name to KFService?)
From: Ellis Bigelow notifications@github.com Sent: Tuesday, August 27, 2019 3:24 PM To: kubeflow/kfserving kfserving@noreply.github.com Cc: David Aronchick David.Aronchick@microsoft.com; Mention < mention@noreply.github.com> Subject: Re: [kubeflow/kfserving] Discuss: Rename KFServing to MLServing (#317)
Is this about KFServing -> MLServing (the repo) or KFService -> MLService (the api)
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yup - makes all the more sense. Maybe change the title of the issue to say
'Rename KFService to MLService'
+1 - also, please do put together a short proposal.
KFService -> MLService (the api)
Yes I mean the API/spec. Updated the title. Will write out a proposal.
What about the apiGroup? These typically map to a .org website (i.e. serving.kubeflow.org, security.istio.io).
Any thoughts on InferenceService instead?
We've discussed this idea before, opening an issue to discuss in the context of v1alpha2.
Rationale:
KFServing as it currently stands defines an API spec and an implementation for serving. The spec models the ML domain but is not dependent on Kubeflow in any way. MLServing is a clearer name that reinforces the loose coupling of the API.
wdyt?