Running MapR Data Science Refinery as a Deployment in Kubernetes
This topic provides a sample YAML file that shows you how to run MapR Data Science Refinery as a Kubernetes Deployment
. Doing so enables
the Kubernetes deployment controller to spawn a new pod when a pod is killed or
dies.
To run MapR Data Science Refinery as a Kubernetes Deployment
,
include the following configuration settings in your YAML file:
apiVersion: apps/v1
kind: Deployment
metadata:
name: dsr-app
spec:
replicas: 1
template:
metadata:
labels:
app: dsr-app
spec:
containers:
- name: dsr
imagePullPolicy: Always
image: maprtech/data-science-refinery:v1.4.1_6.1.0_6.3.0_centos7
The remainder of your YAML file is similar to a YAML file that specifies a
Pod
. The YAML file at Running MapR Data Science Refinery as a Kubernetes Service is an
example.