Added values to template chart

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2023-08-21 21:08:59 +02:00
parent 6aa60670c0
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@@ -2,7 +2,7 @@ apiVersion: v2
name: template
description: A Helm library chart containing common templates, keeping application templates short
type: library
version: 0.1.6
version: 0.1.7
maintainers:
- name: Jim Martens
url: https://2martens.de
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@@ -0,0 +1,4 @@
# Template Helm Chart
This helm chart is a library chart that does most of the heavy
lifting for your application chart.
+32 -9
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@@ -1,6 +1,5 @@
# Default values for template.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
# Copy these values to your application chart completely and then modify those bits where
# the default for your application differs. The image.repository is a prime candidate for that.
replicaCount: 1
@@ -10,8 +9,15 @@ image:
# Overrides the image tag whose default is latest
tag: ""
# If image is not accessible for Kubernetes without authentication, configure required secrets here
# will be added verbatim to imagePullSecrets in deployment pod template
imagePullSecrets: []
# Overrides the name being used in, for example, annotations
# by default it is the chart name
nameOverride: ""
# Overrides the name being used for the name of Kubernetes resources
# by default release name if it contains the chart name, otherwise releaseName-chartName
fullnameOverride: ""
serviceAccount:
@@ -23,11 +29,14 @@ serviceAccount:
# If not set and create is true, a name is generated using the fullname template
name: ""
# Configure annotations for the pod, will be added verbatim to key annotations in pod metadata
podAnnotations: {}
# Configure the security context of the application pod
podSecurityContext: {}
# fsGroup: 2000
# Configure security context of the application container
securityContext: {}
# capabilities:
# drop:
@@ -42,17 +51,27 @@ application:
profile: prod
isSpring: true
# Overwrite with application specific environment variables
# Each item has key and value, where the value is parsed as a template
environment: []
enableServiceLinks: false
# Contents of this object will be added to a Kubernetes secret data section and Base64 encoded
# External secrets are not supported by this template
secrets: {}
# Configure the service
service:
type: ClusterIP
# port is targeting the containerPort http, described by application.port
port: 8080
# actuatorPort is targeting the containerPort http-actuator, described by application.actuatorPort
# only used if application.isSpring=true
actuatorPort: 8081
# Configure the liveness probe
# Defaults fitting for Spring Boot application that has livenessProbe enabled
livenessProbe:
enabled: true
path: /actuator/health/liveness
@@ -60,19 +79,23 @@ livenessProbe:
initialDelaySeconds: 30
periodSeconds: 120
# Configure the readiness probe
# Defaults fitting for Spring Boot application that has readinessProbe enabled
readinessProbe:
enabled: true
path: /actuator/health/readiness
port: http-actuator
initialDelaySeconds: 30
periodSeconds: 10
timeoutSeconds: 2
# Allows you to specify the number of seconds the application can take to answer readinessProbe
# before failure is assumed by Kubernetes
timeoutSeconds: 1
# Configure ingress if desired (exposing app beyond the boundaries of the cluster)
ingress:
enabled: false
className: ""
annotations: {}
# kubernetes.io/ingress.class: nginx
# kubernetes.io/tls-acme: "true"
hosts:
- host: chart-example.local
@@ -85,10 +108,6 @@ ingress:
# - chart-example.local
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
@@ -96,6 +115,7 @@ resources: {}
# cpu: 100m
# memory: 128Mi
# Configure autoscaling
autoscaling:
enabled: false
minReplicas: 1
@@ -103,10 +123,13 @@ autoscaling:
targetCPUUtilizationPercentage: 80
# targetMemoryUtilizationPercentage: 80
# Configure nodeSelector, contents will be added verbatim to key nodeSelector in deployment pod template
nodeSelector: {}
# Configure tolerations, contents will be added verbatim to key tolerations in deployment pod template
tolerations: []
# Configure affinity, contents will be added verbatim to key affinity in deployment pod template
affinity: {}
# podSpec: will be added at the bottom of the pod template in the deployment
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_values.yaml