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values.yaml
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image:
repository: quay.io/cortexproject/cortex
# -- Allows you to override the cortex version in this chart. Use at your own risk.
tag: ""
pullPolicy: IfNotPresent
# -- Optionally specify an array of imagePullSecrets.
# Secrets must be manually created in the namespace.
# ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
pullSecrets: []
# -- Kubernetes cluster DNS domain
clusterDomain: cluster.local
ingress:
enabled: false
ingressClass:
enabled: false
name: "nginx"
annotations: {}
hosts:
- host: chart-example.local
paths:
- /
tls: []
serviceAccount:
create: true
name:
annotations: {}
automountServiceAccountToken: true
useConfigMap: false
useExternalConfig: false
externalConfigSecretName: 'secret-with-config.yaml'
externalConfigVersion: '0'
config:
auth_enabled: false
api:
prometheus_http_prefix: '/prometheus'
# -- Use GZIP compression for API responses. Some endpoints serve large YAML or JSON blobs
# which can benefit from compression.
response_compression_enabled: true
ingester:
lifecycler:
# -- We don't want to join immediately, but wait a bit to see other ingesters and their tokens first.
# It can take a while to have the full picture when using gossip
join_after: 10s
# -- To avoid generating same tokens by multiple ingesters, they can "observe" the ring for a while,
# after putting their own tokens into it. This is only useful when using gossip, since multiple
# ingesters joining at the same time can have conflicting tokens if they don't see each other yet.
observe_period: 10s
# -- Duration to sleep for before exiting, to ensure metrics are scraped.
final_sleep: 30s
num_tokens: 512
ring:
# -- Ingester replication factor per default is 3
replication_factor: 3
kvstore:
store: "memberlist"
limits:
# -- Enforce that every sample has a metric name
enforce_metric_name: true
reject_old_samples: true
reject_old_samples_max_age: 168h
max_query_lookback: 0s
server:
http_listen_port: 8080
grpc_listen_port: 9095
grpc_server_max_recv_msg_size: 10485760
grpc_server_max_send_msg_size: 10485760
grpc_server_max_concurrent_streams: 10000
ingester_client:
grpc_client_config:
max_recv_msg_size: 10485760
max_send_msg_size: 10485760
blocks_storage:
tsdb:
dir: /data/tsdb
bucket_store:
sync_dir: /data/tsdb-sync
bucket_index:
enabled: true
# -- https://cortexmetrics.io/docs/configuration/configuration-file/#store_gateway_config
store_gateway:
sharding_enabled: false
distributor:
# -- Distribute samples based on all labels, as opposed to solely by user and
# metric name.
shard_by_all_labels: true
pool:
health_check_ingesters: true
memberlist:
bind_port: 7946
# -- the service name of the memberlist
# if using memberlist discovery
join_members:
- '{{ include "cortex.fullname" $ }}-memberlist'
querier:
active_query_tracker_dir: /data/active-query-tracker
# -- Comma separated list of store-gateway addresses in DNS Service Discovery
# format. This option should is set automatically when using the blocks storage and the
# store-gateway sharding is disabled (when enabled, the store-gateway instances
# form a ring and addresses are picked from the ring).
# @default -- automatic
store_gateway_addresses: |-
{{ if not .Values.config.store_gateway.sharding_enabled -}}
dns+{{ include "cortex.storeGatewayFullname" $ }}-headless:9095
{{- end }}
query_range:
split_queries_by_interval: 24h
align_queries_with_step: false
cache_results: true
results_cache:
cache:
memcached:
expiration: 1h
memcached_client:
timeout: 1s
ruler:
enable_alertmanager_discovery: false
# -- Enable the experimental ruler config api.
enable_api: true
runtime_config:
file: /etc/cortex-runtime-config/runtime_config.yaml
alertmanager:
# -- Enable alertmanager gossip cluster
# -- Disable alertmanager gossip cluster by setting empty listen_address to empty string
cluster:
listen_address: '0.0.0.0:9094'
# -- Enable the experimental alertmanager config api.
enable_api: false
external_url: '/api/prom/alertmanager'
frontend:
log_queries_longer_than: 10s
runtimeconfigmap:
# -- If true, a configmap for the `runtime_config` will be created.
# If false, the configmap _must_ exist already on the cluster or pods will fail to create.
create: true
annotations: {}
# -- https://cortexmetrics.io/docs/configuration/arguments/#runtime-configuration-file
runtime_config: {}
alertmanager:
enabled: true
replicas: 1
statefulSet:
# -- If true, use a statefulset instead of a deployment for pod management.
# This is useful for using a persistent volume for storing silences between restarts.
enabled: false
service:
annotations: {}
labels: {}
serviceAccount:
# -- "" disables the individual serviceAccount and uses the global serviceAccount for that component
name: ""
serviceMonitor:
enabled: false
additionalLabels: {}
relabelings: []
metricRelabelings: []
# -- Additional endpoint configuration https://github.com/prometheus-operator/prometheus-operator/blob/master/Documentation/api.md#endpoint
extraEndpointSpec: {}
podTargetLabels: []
resources: {}
# -- Additional Cortex container arguments, e.g. log level (debug, info, warn, error)
extraArgs: {}
# -- Pod Labels
podLabels: {}
# -- Pod Annotations
podAnnotations:
prometheus.io/scrape: 'true'
prometheus.io/port: '8080'
nodeSelector: {}
topologySpreadConstraints: []
affinity: {}
annotations: {}
persistentVolume:
# -- If true and alertmanager.statefulSet.enabled is true,
# Alertmanager will create/use a Persistent Volume Claim
# If false, use emptyDir
enabled: true
# -- Alertmanager data Persistent Volume Claim annotations
annotations: {}
# -- Alertmanager data Persistent Volume access modes
# Must match those of existing PV or dynamic provisioner
# Ref: http://kubernetes.io/docs/user-guide/persistent-volumes/
accessModes:
- ReadWriteOnce
# -- Alertmanager data Persistent Volume size
size: 2Gi
# -- Subdirectory of Alertmanager data Persistent Volume to mount
# Useful if the volume's root directory is not empty
subPath: ''
# -- Alertmanager 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.
storageClass: null
# -- StatefulSetAutoDeletePVC feature
# https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#persistentvolumeclaim-retention
retentionPolicy: {}
# whenDeleted: Retain
# whenScaled: Retain
startupProbe:
httpGet:
path: /ready
port: http-metrics
failureThreshold: 10
livenessProbe:
httpGet:
path: /ready
port: http-metrics
readinessProbe:
httpGet:
path: /ready
port: http-metrics
securityContext: {}
containerSecurityContext:
enabled: true
readOnlyRootFilesystem: true
# -- Tolerations for pod assignment
# ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
tolerations: []
# -- If not set then a PodDisruptionBudget will not be created
podDisruptionBudget:
maxUnavailable: 1
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 0
maxUnavailable: 1
statefulStrategy:
type: RollingUpdate
terminationGracePeriodSeconds: 60
# -- Init containers to be added to the cortex pod.
initContainers: []
# -- Additional containers to be added to the cortex pod.
extraContainers: []
# -- Additional volumes to the cortex pod.
extraVolumes: []
# -- Extra volume mounts that will be added to the cortex container
extraVolumeMounts: []
# -- Additional ports to the cortex services. Useful to expose extra container ports.
extraPorts: []
# -- Extra env variables to pass to the cortex container
env: []
sidecar:
# -- Enable sidecar that collect the configmaps with specified label and stores the included files them into the respective folders
enabled: false
image:
repository: kiwigrid/k8s-sidecar
tag: 1.19.5
sha: ""
imagePullPolicy: IfNotPresent
resources: {}
# -- Set to true to skip tls verification for kube api calls
skipTlsVerify: false
# -- A value of true will produce unique filenames to avoid issues when duplicate data keys exist between ConfigMaps
# and/or Secrets within the same or multiple Namespaces.
enableUniqueFilenames: false
# -- Label that should be used for filtering
label: cortex_alertmanager
# -- Determines how kopf-k8s-sidecar will run. If WATCH it will run like a normal operator forever.
# If LIST it will gather the matching configmaps and secrets currently present,
# write those files to the destination directory and die
watchMethod: ""
# -- The value for the label you want to filter your resources on.
# Don't set a value to filter by any value
labelValue: ""
# -- Folder where the files should be placed.
folder: /data
# -- The default folder name, it will create a subfolder under the `folder` and put rules in there instead
defaultFolderName: ""
# -- The Namespace(s) from which resources will be watched.
# For multiple namespaces, use a comma-separated string like "default,test".
# If not set or set to ALL, it will watch all Namespaces.
searchNamespace: ""
# -- The annotation the sidecar will look for in ConfigMaps and/or Secrets to override the destination folder for files.
# If the value is a relative path, it will be relative to FOLDER
folderAnnotation: "k8s-sidecar-target-directory"
# -- The resource type that the operator will filter for. Can be configmap, secret or both
resource: "both"
containerSecurityContext:
enabled: true
readOnlyRootFilesystem: true
distributor:
enabled: true
replicas: 2
service:
annotations: {}
labels: {}
serviceAccount:
# -- "" disables the individual serviceAccount and uses the global serviceAccount for that component
name: ""
serviceMonitor:
enabled: false
additionalLabels: {}
relabelings: []
metricRelabelings: []
# -- Additional endpoint configuration https://github.com/prometheus-operator/prometheus-operator/blob/master/Documentation/api.md#endpoint
extraEndpointSpec: {}
podTargetLabels: []
resources: {}
# -- Additional Cortex container arguments, e.g. log.level (debug, info, warn, error)
extraArgs: {}
# -- Pod Labels
podLabels: {}
# -- Pod Annotations
podAnnotations:
prometheus.io/scrape: 'true'
prometheus.io/port: '8080'
nodeSelector: {}
topologySpreadConstraints: []
affinity:
podAntiAffinity:
preferredDuringSchedulingIgnoredDuringExecution:
- weight: 100
podAffinityTerm:
labelSelector:
matchExpressions:
- key: app.kubernetes.io/component
operator: In
values:
- distributor
topologyKey: 'kubernetes.io/hostname'
annotations: {}
autoscaling:
# -- Creates a HorizontalPodAutoscaler for the distributor pods.
enabled: false
minReplicas: 2
maxReplicas: 30
targetCPUUtilizationPercentage: 80
targetMemoryUtilizationPercentage: 0 # 80
# -- Ref: https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/#support-for-configurable-scaling-behavior
behavior: {}
# -- Optional custom and external metrics for the distributor pods to scale on
# In order to use this option , define a list of of specific following https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/#autoscaling-on-multiple-metrics-and-custom-metrics and https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/#autoscaling-on-metrics-not-related-to-kubernetes-objects
extraMetrics: []
persistentVolume:
subPath:
startupProbe:
httpGet:
path: /ready
port: http-metrics
failureThreshold: 10
livenessProbe:
httpGet:
path: /ready
port: http-metrics
readinessProbe:
httpGet:
path: /ready
port: http-metrics
securityContext: {}
containerSecurityContext:
enabled: true
readOnlyRootFilesystem: true
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 0
maxUnavailable: 1
terminationGracePeriodSeconds: 60
tolerations: []
podDisruptionBudget:
maxUnavailable: 1
initContainers: []
extraContainers: []
extraVolumes: []
extraVolumeMounts: []
extraPorts: []
env: []
lifecycle: {}
ingester:
enabled: true
replicas: 3
statefulSet:
# -- If true, use a statefulset instead of a deployment for pod management.
# This is useful when using WAL
enabled: false
# -- ref: https://cortexmetrics.io/docs/guides/ingesters-scaling-up-and-down/#scaling-down and https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#pod-management-policies for scaledown details
podManagementPolicy: OrderedReady
service:
annotations: {}
labels: {}
serviceAccount:
name:
serviceMonitor:
enabled: false
additionalLabels: {}
relabelings: []
metricRelabelings: []
# -- Additional endpoint configuration https://github.com/prometheus-operator/prometheus-operator/blob/master/Documentation/api.md#endpoint
extraEndpointSpec: {}
podTargetLabels: []
resources: {}
# -- Additional Cortex container arguments, e.g. log.level (debug, info, warn, error)
extraArgs: {}
# -- Pod Labels
podLabels: {}
# -- Pod Annotations
podAnnotations:
prometheus.io/scrape: 'true'
prometheus.io/port: '8080'
nodeSelector: {}
topologySpreadConstraints: []
affinity:
podAntiAffinity:
preferredDuringSchedulingIgnoredDuringExecution:
- weight: 100
podAffinityTerm:
labelSelector:
matchExpressions:
- key: app.kubernetes.io/component
operator: In
values:
- ingester
topologyKey: 'kubernetes.io/hostname'
annotations: {}
autoscaling:
enabled: false
minReplicas: 3
maxReplicas: 30
targetMemoryUtilizationPercentage: 80
behavior:
scaleDown:
# -- see https://cortexmetrics.io/docs/guides/ingesters-scaling-up-and-down/#scaling-down for scaledown details
policies:
- type: Pods
value: 1
# set to no less than 2x the maximum between -blocks-storage.bucket-store.sync-interval and -compactor.cleanup-interval
periodSeconds: 1800
# -- uses metrics from the past 1h to make scaleDown decisions
stabilizationWindowSeconds: 3600
scaleUp:
# -- This default scaleup policy allows adding 1 pod every 30 minutes.
# Ref: https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/#support-for-configurable-scaling-behavior
policies:
- type: Pods
value: 1
periodSeconds: 1800
# -- Optional custom and external metrics for the ingester pods to scale on
# In order to use this option , define a list of of specific following https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/#autoscaling-on-multiple-metrics-and-custom-metrics and https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/#autoscaling-on-metrics-not-related-to-kubernetes-objects
extraMetrics: []
lifecycle:
# -- The /shutdown preStop hook is recommended as part of the ingester
# scaledown process, but can be removed to optimize rolling restarts in
# instances that will never be scaled down.
# https://cortexmetrics.io/docs/guides/ingesters-scaling-up-and-down/#scaling-down
preStop:
httpGet:
path: "/ingester/shutdown"
port: http-metrics
persistentVolume:
# -- If true and ingester.statefulSet.enabled is true,
# Ingester will create/use a Persistent Volume Claim
# If false, use emptyDir
enabled: true
# -- Ingester data Persistent Volume Claim annotations
annotations: {}
# -- Ingester data Persistent Volume access modes
# Must match those of existing PV or dynamic provisioner
# Ref: http://kubernetes.io/docs/user-guide/persistent-volumes/
accessModes:
- ReadWriteOnce
# -- Ingester data Persistent Volume size
size: 2Gi
# -- Subdirectory of Ingester data Persistent Volume to mount
# Useful if the volume's root directory is not empty
subPath: ''
# -- Ingester 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.
storageClass: null
# -- StatefulSetAutoDeletePVC feature
# https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#persistentvolumeclaim-retention
retentionPolicy: {}
# whenDeleted: Retain
# whenScaled: Retain
# -- Startup/liveness probes for ingesters are not recommended.
# Ref: https://cortexmetrics.io/docs/guides/running-cortex-on-kubernetes/#take-extra-care-with-ingesters
startupProbe: {}
# -- Startup/liveness probes for ingesters are not recommended.
# Ref: https://cortexmetrics.io/docs/guides/running-cortex-on-kubernetes/#take-extra-care-with-ingesters
livenessProbe: {}
readinessProbe:
httpGet:
path: /ready
port: http-metrics
securityContext: {}
containerSecurityContext:
enabled: true
readOnlyRootFilesystem: true
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 0
maxUnavailable: 1
statefulStrategy:
type: RollingUpdate
terminationGracePeriodSeconds: 240
tolerations: []
podDisruptionBudget:
maxUnavailable: 1
initContainers: []
extraContainers: []
extraVolumes: []
extraVolumeMounts: []
extraPorts: []
env: []
ruler:
enabled: true
replicas: 1
service:
annotations: {}
labels: {}
serviceAccount:
# -- "" disables the individual serviceAccount and uses the global serviceAccount for that component
name: ""
serviceMonitor:
enabled: false
additionalLabels: {}
relabelings: []
metricRelabelings: []
# -- Additional endpoint configuration https://github.com/prometheus-operator/prometheus-operator/blob/master/Documentation/api.md#endpoint
extraEndpointSpec: {}
podTargetLabels: []
resources: {}
# -- Additional Cortex container arguments, e.g. log.level (debug, info, warn, error)
extraArgs: {}
# -- Pod Labels
podLabels: {}
# -- Pod Annotations
podAnnotations:
prometheus.io/scrape: 'true'
prometheus.io/port: '8080'
nodeSelector: {}
topologySpreadConstraints: []
affinity: {}
annotations: {}
autoscaling:
# -- Creates a HorizontalPodAutoscaler for the ruler.
enabled: false
minReplicas: 2
maxReplicas: 30
targetCPUUtilizationPercentage: 80
targetMemoryUtilizationPercentage: 80
# -- Ref: https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/#support-for-configurable-scaling-behavior
behavior: {}
# -- Optional custom and external metrics for the ruler pods to scale on
# In order to use this option , define a list of of specific following https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/#autoscaling-on-multiple-metrics-and-custom-metrics and https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/#autoscaling-on-metrics-not-related-to-kubernetes-objects
extraMetrics: []
validation:
# -- Checks that the ruler is compatible with horizontal scaling,
# as documented in https://cortexmetrics.io/docs/guides/ruler-sharding/.
# You may need to disable this if your config is compatible, but not understood by the validator.
enabled: true
startupProbe:
httpGet:
path: /ready
port: http-metrics
failureThreshold: 10
livenessProbe:
httpGet:
path: /ready
port: http-metrics
readinessProbe:
httpGet:
path: /ready
port: http-metrics
securityContext: {}
containerSecurityContext:
enabled: true
readOnlyRootFilesystem: true
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 0
maxUnavailable: 1
terminationGracePeriodSeconds: 180
tolerations: []
podDisruptionBudget:
maxUnavailable: 1
initContainers: []
extraContainers: []
extraVolumes: []
extraVolumeMounts: []
extraPorts: []
env: []
# -- allow configuring rules via configmap. ref: https://cortexproject.github.io/cortex-helm-chart/guides/configure_rules_via_configmap.html
directories: {}
sidecar:
# -- Enable sidecar that collect the configmaps with specified label and stores the included files them into the respective folders
enabled: false
image:
repository: kiwigrid/k8s-sidecar
tag: 1.19.5
sha: ""
imagePullPolicy: IfNotPresent
resources: {}
# -- Set to true to skip tls verification for kube api calls
skipTlsVerify: false
# -- A value of true will produce unique filenames to avoid issues when duplicate data keys exist between ConfigMaps
# and/or Secrets within the same or multiple Namespaces.
enableUniqueFilenames: false
# -- label that the configmaps with rules are marked with
label: cortex_rules
# -- Determines how kopf-k8s-sidecar will run. If WATCH it will run like a normal operator forever.
# If LIST it will gather the matching configmaps and secrets currently present,
# write those files to the destination directory and die
watchMethod: ""
# -- The value for the label you want to filter your resources on.
# Don't set a value to filter by any value
labelValue: ""
# -- Folder where the files should be placed.
folder: /data/rules
# -- The default folder name, it will create a subfolder under the `folder` and put rules in there instead
defaultFolderName: ""
# -- The Namespace(s) from which resources will be watched.
# For multiple namespaces, use a comma-separated string like "default,test".
# If not set or set to ALL, it will watch all Namespaces.
searchNamespace: ""
# -- The annotation the sidecar will look for in ConfigMaps and/or Secrets to override the destination folder for files.
# If the value is a relative path, it will be relative to FOLDER
folderAnnotation: "k8s-sidecar-target-directory"
# -- The resource type that the operator will filter for. Can be configmap, secret or both
resource: "both"
containerSecurityContext:
enabled: true
readOnlyRootFilesystem: true
querier:
enabled: true
replicas: 2
service:
annotations: {}
labels: {}
serviceAccount:
# -- "" disables the individual serviceAccount and uses the global serviceAccount for that component
name: ""
serviceMonitor:
enabled: false
additionalLabels: {}
relabelings: []
metricRelabelings: []
# -- Additional endpoint configuration https://github.com/prometheus-operator/prometheus-operator/blob/master/Documentation/api.md#endpoint
extraEndpointSpec: {}
podTargetLabels: []
resources: {}
# -- Additional Cortex container arguments, e.g. log.level (debug, info, warn, error)
extraArgs: {}
# -- Pod Labels
podLabels: {}
# -- Pod Annotations
podAnnotations:
prometheus.io/scrape: 'true'
prometheus.io/port: '8080'
nodeSelector: {}
topologySpreadConstraints: []
affinity:
podAntiAffinity:
preferredDuringSchedulingIgnoredDuringExecution:
- weight: 100
podAffinityTerm:
labelSelector:
matchExpressions:
- key: app.kubernetes.io/component
operator: In
values:
- querier
topologyKey: 'kubernetes.io/hostname'
annotations: {}
autoscaling:
# -- Creates a HorizontalPodAutoscaler for the querier pods.
enabled: false
minReplicas: 2
maxReplicas: 30
targetCPUUtilizationPercentage: 80
targetMemoryUtilizationPercentage: 0 # 80
# -- Ref: https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/#support-for-configurable-scaling-behavior
behavior: {}
# -- Optional custom and external metrics for the querier pods to scale on
# In order to use this option , define a list of of specific following https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/#autoscaling-on-multiple-metrics-and-custom-metrics and https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/#autoscaling-on-metrics-not-related-to-kubernetes-objects
extraMetrics: []
persistentVolume:
subPath:
startupProbe:
httpGet:
path: /ready
port: http-metrics
failureThreshold: 10
livenessProbe:
httpGet:
path: /ready
port: http-metrics
readinessProbe:
httpGet:
path: /ready
port: http-metrics
securityContext: {}
containerSecurityContext:
enabled: true
readOnlyRootFilesystem: true
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 0
maxUnavailable: 1
terminationGracePeriodSeconds: 180
tolerations: []
podDisruptionBudget:
maxUnavailable: 1
initContainers: []
extraContainers: []
extraVolumes: []
extraVolumeMounts: []
extraPorts: []
env: []
lifecycle: {}
query_frontend:
enabled: true
replicas: 2
service:
annotations: {}
labels: {}
serviceAccount:
# -- "" disables the individual serviceAccount and uses the global serviceAccount for that component
name: ""
serviceMonitor:
enabled: false
additionalLabels: {}
relabelings: []
metricRelabelings: []
# -- Additional endpoint configuration https://github.com/prometheus-operator/prometheus-operator/blob/master/Documentation/api.md#endpoint
extraEndpointSpec: {}
podTargetLabels: []
resources: {}
# -- Additional Cortex container arguments, e.g. log.level (debug, info, warn, error)
extraArgs: {}
# -- Pod Labels
podLabels: {}
# -- Pod Annotations
podAnnotations:
prometheus.io/scrape: 'true'
prometheus.io/port: '8080'
nodeSelector: {}
topologySpreadConstraints: []
affinity:
podAntiAffinity:
preferredDuringSchedulingIgnoredDuringExecution:
- weight: 100
podAffinityTerm:
labelSelector:
matchExpressions:
- key: app.kubernetes.io/component
operator: In
values:
- query-frontend
topologyKey: 'kubernetes.io/hostname'
annotations: {}
persistentVolume:
subPath:
startupProbe:
httpGet:
path: /ready
port: http-metrics
failureThreshold: 10
livenessProbe:
httpGet:
path: /ready
port: http-metrics
readinessProbe:
httpGet:
path: /ready
port: http-metrics
securityContext: {}
containerSecurityContext:
enabled: true
readOnlyRootFilesystem: true
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 0
maxUnavailable: 1
terminationGracePeriodSeconds: 180
tolerations: []
podDisruptionBudget:
maxUnavailable: 1
initContainers: []
extraContainers: []
extraVolumes: []
extraVolumeMounts: []
extraPorts: []
env: []
lifecycle: {}
query_scheduler:
# -- If true, querier and query-frontend will connect to it (requires Cortex v1.6.0+)
# https://cortexmetrics.io/docs/operations/scaling-query-frontend/#query-scheduler
enabled: false
replicas: 2
service:
annotations: {}
labels: {}
serviceMonitor:
enabled: false
additionalLabels: {}
relabelings: []
metricRelabelings: []
# -- Additional endpoint configuration https://github.com/prometheus-operator/prometheus-operator/blob/master/Documentation/api.md#endpoint
extraEndpointSpec: {}
podTargetLabels: []
resources: {}
# -- Additional Cortex container arguments, e.g. log.level (debug, info, warn, error)
extraArgs: {}
# -- Pod Labels
podLabels: {}
# -- Pod Annotations
podAnnotations:
prometheus.io/scrape: 'true'
prometheus.io/port: 'http-metrics'
nodeSelector: {}
topologySpreadConstraints: []
affinity:
podAntiAffinity:
preferredDuringSchedulingIgnoredDuringExecution:
- weight: 100
podAffinityTerm:
labelSelector:
matchExpressions:
- key: app.kubernetes.io/component
operator: In
values:
- query-scheduler
topologyKey: 'kubernetes.io/hostname'
annotations: {}
persistentVolume:
subPath:
startupProbe:
httpGet:
path: /ready
port: http-metrics
failureThreshold: 10
livenessProbe:
httpGet:
path: /ready
port: http-metrics
readinessProbe:
httpGet: