# Default values for Seq.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.

image:
  repository: datalust/seq
  tag: 2020
  pullPolicy: IfNotPresent

# By passing the value Y in the ACCEPT_EULA environment variable,
# you are expressing that you have read and accepted the terms in
# Seq End User License Agreement applicable to the Seq Docker image
# that you intend to use.
acceptEULA: "Y"

# Set this URL if you enable ingress and/or AAD authentication.
# Without this URL set to include HTTPS, Seq will try to set a login redirect
# URL with HTTP instead of HTTPS and AAD's registration requires HTTPS.
# The result is that you'll get an error during login:
#   AADSTS50011: The reply url specified in the request does not match the reply urls configured for the application
# baseURI: https://my.public.url/

# The complete Seq API and UI.
# This API can accept events and serve API requests.
ui:
  service:
    port: 80
  ingress:
    enabled: true
    path: /
    hosts:
      - seq.k2.local

# The ingestion-only API.
# This API is a subset of ui that can only ingest events.
ingestion:
  service:
    port: 5341
  ingress:
    enabled: false
    path: /
    hosts: []

# Accept events in the GELF format and forward them to Seq.
gelf:
  enabled: false
  image:
    repository: datalust/sqelf
    tag: 2
    pullPolicy: IfNotPresent
  service:
    port: 12201
    # GELF can be ingested through either TCP or UDP
    protocol: TCP

service:
  type: ClusterIP

ingress:
  annotations:
    cert-manager.io/cluster-issuer: ca-issuer
    kubernetes.io/ingress.class: nginx
  tls:
   - secretName: seq-tls
     hosts:
       - seq.k2.local

resources: {}
  # We recommend uncommenting these and specifying an explicit memory limit that
  # suits your workload.
  # limits:
  #  memory: 256Mi
  # requests:
  #  memory: 256Mi

cache:
  # The fraction of RAM that the cache should try fit within. Specifying a larger
  # value may allow more events in RAM at the expense of potential instability.
  # Setting it to `0` will disable the cache completely.
  # 70% (`0.7`) is a good starting point for machines with up to ~8GB of RAM.
  targetSize: 0.7

nodeSelector: {}

tolerations: []

affinity: {}

## Enable persistence using Persistent Volume Claims
## ref: http://kubernetes.io/docs/user-guide/persistent-volumes/
persistence:
  enabled: true

  ## The path the volume will be mounted at
  path: /data

  ## The subdirectory of the volume to mount to, useful in dev environments and one PV for multiple services.
  subPath: ""

  ## A manually managed Persistent Volume and Claim
  ## Requires persistence.enabled: true
  ## If defined, PVC must be created manually before volume will be bound
  # existingClaim:

  ## Seq data Persistent Volume Storage Class
  ## If defined, storageClassName: <storageClass>
  ## If set to "-", storageClassName: "", which disables dynamic provisioning
  ## If undefined (the default) or set to null, no storageClassName spec is
  ##   set, choosing the default provisioner.  (gp2 on AWS, standard on
  ##   GKE, AWS & OpenStack)
  ##
  storageClass: managed-nfs-storage
  accessMode: ReadWriteOnce
  size: 8Gi

serviceAccount:
  create: false
  name:

## Enable RBAC
rbac:
  create: false

# If true, create & use Pod Security Policy resources
# https://kubernetes.io/docs/concepts/policy/pod-security-policy/
podSecurityPolicy:
  create: false

securityContext:
  privileged: true

## Configure probe values
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-probes/#configure-probes
livenessProbe:
  enabled: true
  failureThreshold: 3
  initialDelaySeconds: 0
  periodSeconds: 10
  successThreshold: 1
  timeoutSeconds: 1

readinessProbe:
  enabled: true
  failureThreshold: 3
  initialDelaySeconds: 0
  periodSeconds: 10
  successThreshold: 1
  timeoutSeconds: 1

startupProbe:
  enabled: true
  failureThreshold: 30
  periodSeconds: 10