forked from cowboysysop/charts
-
Notifications
You must be signed in to change notification settings - Fork 0
/
values.yaml
150 lines (110 loc) · 3.57 KB
/
values.yaml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
# Default values for training-operator.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
# Override Kubernetes version
kubeVersion: ""
imagePullSecrets: []
nameOverride: ""
fullnameOverride: ""
# Annotations to add to all deployed objects
commonAnnotations: {}
# Labels to add to all deployed objects
commonLabels: {}
replicaCount: 1
image:
repository: public.ecr.aws/j1r0q0g6/training/training-operator
tag: 760ac1171dd30039a7363ffa03c77454bd714da5
pullPolicy: IfNotPresent
pdb:
# Specifies whether a pod disruption budget should be created
create: false
# Minimum number/percentage of pods that should remain scheduled
minAvailable: 1
# Maximum number/percentage of pods that may be made unavailable
# maxUnavailable: 1
serviceAccount:
# Specifies whether a service account should be created
create: true
# Annotations to add to the service account
annotations: {}
# The name of the service account to use.
# If not set and create is true, a name is generated using the fullname template
name:
# Additional pod annotations
podAnnotations: {}
# Additional pod labels
podLabels: {}
podSecurityContext: {}
# fsGroup: 2000
# Priority class name
# priorityClassName : high-priority
securityContext: {}
# capabilities:
# drop:
# - ALL
# readOnlyRootFilesystem: true
# runAsNonRoot: true
# runAsUser: 1000
livenessProbe:
# Enable liveness probe
enabled: true
# Delay before the liveness probe is initiated
initialDelaySeconds: 0
# How often to perform the liveness probe
periodSeconds: 10
# When the liveness probe times out
timeoutSeconds: 1
# Minimum consecutive failures for the liveness probe to be considered failed after having succeeded
failureThreshold: 3
# Minimum consecutive successes for the liveness probe to be considered successful after having failed
successThreshold: 1
readinessProbe:
# Enable readiness probe
enabled: true
# Delay before the readiness probe is initiated
initialDelaySeconds: 0
# How often to perform the readiness probe
periodSeconds: 10
# When the readiness probe times out
timeoutSeconds: 1
# Minimum consecutive failures for the readiness probe to be considered failed after having succeeded
failureThreshold: 3
# Minimum consecutive successes for the readiness probe to be considered successful after having failed
successThreshold: 1
resources: {}
# We usually recommend not to specify default resources and to leave this as a conscious
# choice for the user. This also increases chances charts run on environments with little
# resources, such as Minikube. If you do want to specify resources, uncomment the following
# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
nodeSelector: {}
tolerations: []
affinity: {}
extraArgs: {}
# name: ""
# Additional container environment variables
extraEnvVars: []
# - name: MY-NAME
# value: "MY-VALUE"
# Name of existing ConfigMap containing additional container environment variables
extraEnvVarsCM:
# Name of existing Secret containing additional container environment variables
extraEnvVarsSecret:
metrics:
service:
# Metrics service annotations
annotations: {}
# Metrics service type
type: ClusterIP
# Metrics static cluster IP address or None for headless service when service type is ClusterIP
# clusterIP: 10.43.0.100
# Metrics service port
port: 8080
kubeflow:
# Enable integration with Kubeflow
enabled: false