pipelines/manifests/kustomize/base/pipeline/ml-pipeline-visualization-d...

54 lines
1.4 KiB
YAML

apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: ml-pipeline-visualizationserver
name: ml-pipeline-visualizationserver
spec:
selector:
matchLabels:
app: ml-pipeline-visualizationserver
template:
metadata:
labels:
app: ml-pipeline-visualizationserver
annotations:
cluster-autoscaler.kubernetes.io/safe-to-evict: "true"
spec:
containers:
- image: gcr.io/ml-pipeline/visualization-server:dummy
imagePullPolicy: IfNotPresent
name: ml-pipeline-visualizationserver
ports:
- name: http
containerPort: 8888
readinessProbe:
exec:
command:
- wget
- -q # quiet
- -S # show server response
- -O
- "-" # Redirect output to stdout
- http://localhost:8888/
initialDelaySeconds: 3
periodSeconds: 5
timeoutSeconds: 2
livenessProbe:
exec:
command:
- wget
- -q # quiet
- -S # show server response
- -O
- "-" # Redirect output to stdout
- http://localhost:8888/
initialDelaySeconds: 3
periodSeconds: 5
timeoutSeconds: 2
resources:
requests:
cpu: 30m
memory: 500Mi
serviceAccountName: ml-pipeline-visualizationserver