Skip to content
Permalink
Branch: master
Find file Copy path
2 contributors

Users who have contributed to this file

@cliveseldon @jklaise
47 lines (22 sloc) 1.04 KB

Deployment

  1. Deploy your machine learning model inference graph
  2. Validate successful deployment

Deploy

You can manage your deployment resource via the standard Kuberntes tools:

Kubectl

You can manage your deployments via the standard Kubernetes CLI kubectl, e.g.

kubectl apply -f my_ml_deployment.yaml

Helm

You can use Helm to manage your deployment as illustrated in the Helm examples notebook.

We have a selection of templated helm charts you can use as a basis for your deployments.

Ksonnet

You can use Ksonnet to manage your deployments as illustrated in the Ksonnet examples notebook.

We have a selection of Ksonnet prototypes you can use as a basis for your deployments.

Validate

You can check the status of the running deployments using kubectl

For example:

kubectl get sdep -o jsonpath='{.items[].status}'
You can’t perform that action at this time.