Kubernetes
If you want to run only the DevOps service Catalog, Orchestrator or the Reverse Proxy in a kubernetes cluster we provide a helm chart. This allows you to quickly spin up the service in a cluster by just passing the configuration options as values.
To add the helm repository run the following command:
helm repo add prl-devops https://parallels.github.io/prl-devops-service/charts
once the repository is added you can install the chart
To install the chart run the following command:
helm install prl-devops prl-devops/prl-devops-service
you can also pass a chart configuration file to the install command:
helm install prl-devops prl-devops/prl-devops-service -f values.yaml
Below is an example of a configuration file.
replicaCount: 1
image:
repository: cjlapao/prl-devops-service
pullPolicy: IfNotPresent
tag: "latest"
imagePullSecrets: []
nameOverride: ""
fullnameOverride: ""
serviceAccount:
create: true
automount: true
name: ""
podAnnotations: {}
podLabels: {}
podSecurityContext: {}
# fsGroup: 2000
securityContext: {}
# capabilities:
# drop:
# - ALL
# readOnlyRootFilesystem: true
# runAsNonRoot: true
# runAsUser: 1000
storage:
node_name: ''
databasePath: '/go/bin/db'
security:
jwt:
rsa_private_key: ""
hmac_secret: ""
duration: "15m"
signing_method: "HS256"
password:
min_password_length: 12
max_password_length: 40
require_uppercase: true
require_lowercase: true
require_numbers: true
require_special_characters: true
salt_password: true
brute_force:
max_login_attempts: 5
lockout_duration: 10s
increment_lockout_duration: true
encryption_private_key: ""
root_password: ""
service:
type: ClusterIP
port: 80
targetPort: 80
logLevel: info
config:
mode: "api"
disableCatalogCaching: false
ingress:
istio: false
prefix: parallels
enabled: true
annotations: {}
gateway: ""
host: ""
apiPort: 80
apiPrefix: /api
tls:
enabled: false
port: 443
certificate:
privateKey:
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
autoscaling:
enabled: false
minReplicas: 1
maxReplicas: 100
targetCPUUtilizationPercentage: 80
nodeSelector: {}
tolerations: []
affinity: {}