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values.yaml
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# Container image settings.
# Since the image is unique for all microservices, so are image settings.
image:
repository: quay.io/cortexproject/cortex
tag: v1.10.0
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:
# - myRegistrKeySecretName
# Kubernetes cluster DNS domain
clusterDomain: cluster.local
tags:
blocks-storage-memcached: false
ingress:
enabled: false
annotations:
# kubernetes.io/ingress.class: nginx
# kubernetes.io/tls-acme: "true"
hosts:
- host: chart-example.local
paths:
- /
tls: []
# - secretName: chart-example-tls
# hosts:
# - chart-example.local
serviceAccount:
create: true
name:
annotations: {}
automountServiceAccountToken: true
useExternalConfig: false
externalConfigSecretName: 'secret-with-config.yaml'
externalConfigVersion: '0'
config:
auth_enabled: false
api:
prometheus_http_prefix: '/prometheus'
response_compression_enabled: true
ingester:
max_transfer_retries: 0
lifecycler:
join_after: 0s
final_sleep: 0s
num_tokens: 512
ring:
replication_factor: 3
kvstore:
store: consul
prefix: 'collectors/'
consul:
host: 'consul:8500'
http_client_timeout: '20s'
consistent_reads: true
limits:
enforce_metric_name: false
reject_old_samples: true
reject_old_samples_max_age: 168h
max_query_lookback: 0s
schema:
configs:
- from: 2020-11-01
store: cassandra
object_store: cassandra
schema: v10
index:
prefix: index_
period: 168h
chunks:
prefix: chunks_
period: 168h
server:
http_listen_port: 8080
grpc_listen_port: 9095
grpc_server_max_recv_msg_size: 104857600
grpc_server_max_send_msg_size: 104857600
grpc_server_max_concurrent_streams: 1000
ingester_client:
grpc_client_config:
max_recv_msg_size: 104857600
max_send_msg_size: 104857600
# See https://github.com/cortexproject/cortex/blob/master/docs/configuration/config-file-reference.md#storage_config
storage:
engine: chunks
cassandra:
addresses: # configure cassandra addresses here.
keyspace: cortex # configure desired keyspace here.
auth: true
username: # configure cassandra user here.
password: # configure cassandra password here.
azure:
container_name: # configure azure blob container name here.
account_name: # configure azure storage account name here.
account_key: # configure azure storage account key here.
# aws:
# dynamodb:
# dynamodb_url:
# api_limit:
# throttle_limit:
# metrics:
# url:
# target_queue_length:
# scale_up_factor:
# ignore_throttle_below:
# queue_length_query:
# write_throttle_query:
# write_usage_query:
# read_usage_query:
# read_error_query:
# chunk_gang_size:
# chunk_get_max_parallelism:
# s3:
# bucketnames:
# s3forcepathstyle:
index_queries_cache_config:
memcached:
expiration: 1h
memcached_client:
timeout: 1s
chunk_store:
chunk_cache_config:
memcached:
expiration: 1h
memcached_client:
timeout: 1s
# -- https://cortexmetrics.io/docs/configuration/configuration-file/#store_gateway_config
store_gateway: {}
table_manager:
retention_deletes_enabled: false
retention_period: 0s
distributor:
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/cortex/querier
query_ingesters_within: 12h
# -- 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 and (eq .Values.config.storage.engine "blocks") (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: true
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: false
# -- Method to use for backend rule storage (configdb, azure, gcs, s3, swift, local) refer to https://cortexmetrics.io/docs/configuration/configuration-file/#ruler_config
storage: {}
runtime_config:
file: /etc/cortex-runtime-config/runtime_config.yaml
alertmanager:
# -- Enable the experimental alertmanager config api.
enable_api: false
external_url: '/api/prom/alertmanager'
# -- Type of backend to use to store alertmanager configs. Supported values are: "configdb", "gcs", "s3", "local". refer to: https://cortexmetrics.io/docs/configuration/configuration-file/#alertmanager_config
storage: {}
frontend:
# max_outstanding_per_tenant: 1000
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: {}
serviceMonitor:
enabled: false
additionalLabels: {}
relabelings: []
metricRelabelings: []
# Additional endpoint configuration https://github.com/prometheus-operator/prometheus-operator/blob/master/Documentation/api.md#endpoint
extraEndpointSpec: {}
resources: {}
# limits:
# cpu: 200m
# memory: 256Mi
# requests:
# cpu: 10m
# memory: 32Mi
## Additional Cortex container arguments, e.g. log level (debug, info, warn, error)
extraArgs:
{}
# log.level: debug
## Pod Labels
podLabels: {}
## Pod Annotations
podAnnotations:
prometheus.io/scrape: 'true'
prometheus.io/port: 'http-metrics'
nodeSelector: {}
affinity: {}
annotations: {}
## DEPRECATED: use persistentVolume.subPath instead
persistence:
subPath:
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. (gp2 on AWS, standard on
## GKE, AWS & OpenStack)
##
# storageClass: "-"
startupProbe:
httpGet:
path: /ready
port: http-metrics
failureThreshold: 10
livenessProbe:
httpGet:
path: /ready
port: http-metrics
readinessProbe:
httpGet:
path: /ready
port: http-metrics
securityContext:
{}
# fsGroup: 10001
# runAsGroup: 10001
# runAsNonRoot: true
# runAsUser: 10001
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
initContainers: []
## Init containers to be added to the cortex pod.
# - name: my-init-container
# image: busybox:latest
# command: ['sh', '-c', 'echo hello']
extraContainers: []
## Additional containers to be added to the cortex pod.
# - name: reverse-proxy
# image: angelbarrera92/basic-auth-reverse-proxy:dev
# args:
# - "serve"
# - "--upstream=http://localhost:3100"
# - "--auth-config=/etc/reverse-proxy-conf/authn.yaml"
# ports:
# - name: http
# containerPort: 11811
# protocol: TCP
# volumeMounts:
# - name: reverse-proxy-auth-config
# mountPath: /etc/reverse-proxy-conf
extraVolumes: []
## Additional volumes to the cortex pod.
# - name: reverse-proxy-auth-config
# secret:
# secretName: reverse-proxy-auth-config
## Extra volume mounts that will be added to the cortex container
extraVolumeMounts: []
extraPorts: []
## Additional ports to the cortex services. Useful to expose extra container ports.
# - port: 11811
# protocol: TCP
# name: http
# targetPort: http
# Extra env variables to pass to the cortex container
env: []
## Sidecars that collect the configmaps with specified label and stores the included files them into the respective folders
sidecar:
image:
repository: quay.io/kiwigrid/k8s-sidecar
tag: 1.10.7
sha: ""
imagePullPolicy: IfNotPresent
resources: {}
# limits:
# cpu: 100m
# memory: 100Mi
# requests:
# cpu: 50m
# memory: 50Mi
# skipTlsVerify Set to true to skip tls verification for kube api calls
# skipTlsVerify: true
enableUniqueFilenames: false
enabled: false
label: cortex_alertmanager
watchMethod: null
labelValue: null
folder: /data
defaultFolderName: null
searchNamespace: null
folderAnnotation: null
securityContext:
runAsUser: 0
distributor:
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: {}
resources: {}
# limits:
# cpu: 1
# memory: 1Gi
# requests:
# cpu: 100m
# memory: 512Mi
## Additional Cortex container arguments, e.g. log level (debug, info, warn, error)
extraArgs:
{}
# log.level: debug
## Pod Labels
podLabels: {}
## Pod Annotations
podAnnotations:
prometheus.io/scrape: 'true'
prometheus.io/port: 'http-metrics'
nodeSelector: {}
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: {}
persistence:
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: []
ingester:
replicas: 3
statefulSet:
## If true, use a statefulset instead of a deployment for pod management.
## This is useful when using WAL
##
enabled: false
# -- see 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: {}
serviceMonitor:
enabled: false
additionalLabels: {}
relabelings: []
metricRelabelings: []
# Additional endpoint configuration https://github.com/prometheus-operator/prometheus-operator/blob/master/Documentation/api.md#endpoint
extraEndpointSpec: {}
resources: {}
# limits:
# cpu: 1
# memory: 1Gi
# requests:
# cpu: 100m
# memory: 512Mi
## Additional Cortex container arguments, e.g. log level (debug, info, warn, error)
extraArgs:
{}
# log.level: debug
## Pod Labels
podLabels: {}
## Pod Annotations
podAnnotations:
prometheus.io/scrape: 'true'
prometheus.io/port: 'http-metrics'
nodeSelector: {}
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
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 or when using chunks storage
# with WAL disabled.
# https://cortexmetrics.io/docs/guides/ingesters-scaling-up-and-down/#scaling-down
preStop:
httpGet:
path: "/ingester/shutdown"
port: http-metrics
## DEPRECATED: use persistentVolume.subPath instead
persistence:
subPath:
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. (gp2 on AWS, standard on
## GKE, AWS & OpenStack)
##
# storageClass: "-"
startupProbe:
# WAL Replay can take a long time. Increasing failureThreshold for ~30 min of time until killed
failureThreshold: 60
initialDelaySeconds: 120
periodSeconds: 30
httpGet:
path: /ready
port: http-metrics
scheme: HTTP
livenessProbe:
httpGet:
path: /ready
port: http-metrics
scheme: HTTP
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: {}
serviceMonitor:
enabled: false
additionalLabels: {}
relabelings: []
metricRelabelings: []
# Additional endpoint configuration https://github.com/prometheus-operator/prometheus-operator/blob/master/Documentation/api.md#endpoint
extraEndpointSpec: {}
resources: {}
# limits:
# cpu: 200m
# memory: 256Mi
# requests:
# cpu: 10m
# memory: 32Mi
## Additional Cortex container arguments, e.g. log level (debug, info, warn, error)
extraArgs:
{}
# log.level: debug
## Pod Labels
podLabels: {}
## Pod Annotations
podAnnotations:
prometheus.io/scrape: 'true'
prometheus.io/port: 'http-metrics'
nodeSelector: {}
affinity: {}
annotations: {}
persistence:
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: []
# allow configuring rules via configmap in case you don't want to use the configs db
directories: {}
# tenant_foo:
# rules1.txt: |
# groups:
# - name: should_fire
# rules:
# - alert: HighPercentageError
# expr: |
# sum(rate({app="foo", env="production"} |= "error" [5m])) by (job)
# /
# sum(rate({app="foo", env="production"}[5m])) by (job)
# > 0.05
# for: 10m
# labels:
# severity: warning
# annotations:
# summary: High error rate
## Sidecars that collect the configmaps with specified label and stores the included files them into the respective folders
sidecar:
image:
repository: quay.io/kiwigrid/k8s-sidecar
tag: 1.10.7
sha: ""
imagePullPolicy: IfNotPresent
resources: {}
# limits:
# cpu: 100m
# memory: 100Mi
# requests:
# cpu: 50m
# memory: 50Mi
# skipTlsVerify Set to true to skip tls verification for kube api calls
# skipTlsVerify: true
enableUniqueFilenames: false
enabled: false
# label that the configmaps with rules are marked with
label: cortex_rules
watchMethod: null
# value of label that the configmaps with rules are set to
labelValue: null
# folder in the pod that should hold the collected rules (unless `defaultFolderName` is set)
folder: /tmp/rules
# The default folder name, it will create a subfolder under the `folder` and put rules in there instead
defaultFolderName: null
# If specified, the sidecar will search for rules config-maps inside this namespace.
# Otherwise the namespace in which the sidecar is running will be used.
# It's also possible to specify ALL to search in all namespaces
searchNamespace: null
# If specified, the sidecar will look for annotation with this name to create folder and put graph here.
# You can use this parameter together with `provider.foldersFromFilesStructure`to annotate configmaps and create folder structure.
folderAnnotation: null
securityContext:
runAsUser: 0
# running the sidecar will also run as root
# provider configuration that lets cortex manage the rules
querier:
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: {}
resources: {}
# limits:
# cpu: 1
# memory: 1Gi
# requests:
# cpu: 50m
# memory: 128Mi
## Additional Cortex container arguments, e.g. log level (debug, info, warn, error)
extraArgs:
{}
# log.level: debug
## Pod Labels
podLabels: {}
## Pod Annotations
podAnnotations:
prometheus.io/scrape: 'true'
prometheus.io/port: 'http-metrics'
nodeSelector: {}
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: {}
persistence:
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: []
query_frontend:
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: {}
resources: {}
# limits:
# cpu: 1
# memory: 256Mi
# requests:
# cpu: 10m
# memory: 32Mi
## Additional Cortex container arguments, e.g. log level (debug, info, warn, error)
extraArgs:
{}
# log.level: debug
## Pod Labels
podLabels: {}
## Pod Annotations
podAnnotations:
prometheus.io/scrape: 'true'
prometheus.io/port: 'http-metrics'
nodeSelector: {}
affinity:
podAntiAffinity:
preferredDuringSchedulingIgnoredDuringExecution:
- weight: 100
podAffinityTerm:
labelSelector:
matchExpressions:
- key: app.kubernetes.io/component
operator: In
values:
- query-frontend
topologyKey: 'kubernetes.io/hostname'
annotations: {}
persistence:
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