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Describe the feature you'd like
Would like flowise to have better kubernetes deployment, currently its just a docker container.
Would be easier if its still a docker container however when deploying a flow it will create a CRD that deploys its own container, maybe something like this:
That way even if the whole flowise container is crashing the app will still work since different container, giving more "Production ready" features, making flowise move closer towards prod-ready external apps instead of just internal apps.
Ideas:
this feature can use knative serving for deploying a single app like most AI deployment frameworks do, for example: kserve, seldon, replicate, tensorflow etc... optional.
The text was updated successfully, but these errors were encountered:
dont have it currently, its a feature that i want.
what i do now is just knative service with flowiseai/flowise docker container
i am talking about the main container "spawning" new containers that serve only a single flow each. can be done in kubernetes easily via a controller or operator with a CRD
Describe the feature you'd like
Would like flowise to have better kubernetes deployment, currently its just a docker container.
Would be easier if its still a docker container however when deploying a flow it will create a CRD that deploys its own container, maybe something like this:
apiVersion: 'flowiseai.com/v1alpha1'
kind: 'LLMApp'
spec: {
flow: SomeFlowObjectOrSpecHere
}
status:{
address:{
url: 'https:// the deployed url'
}
}
That way even if the whole flowise container is crashing the app will still work since different container, giving more "Production ready" features, making flowise move closer towards prod-ready external apps instead of just internal apps.
Ideas:
The text was updated successfully, but these errors were encountered: