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values.yaml
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values.yaml
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global:
# zone: cluster.local (use only if your DNS server doesn't live in the same zone as kubecost)
prometheus:
enabled: true # If false, Prometheus will not be installed -- Warning: Before changing this setting, please read to understand this setting https://docs.kubecost.com/install-and-configure/install/custom-prom
fqdn: http://cost-analyzer-prometheus-server.default.svc # example address of a prometheus to connect to. Include protocol (http:// or https://) Ignored if enabled: true
# insecureSkipVerify: false # If true, kubecost will not check the TLS cert of prometheus
# queryServiceBasicAuthSecretName: dbsecret # kubectl create secret generic dbsecret -n kubecost --from-file=USERNAME --from-file=PASSWORD
# queryServiceBearerTokenSecretName: mcdbsecret # kubectl create secret generic mcdbsecret -n kubecost --from-file=TOKEN
# Durable storage option, product key required
thanos:
enabled: false
# queryService: http://kubecost-thanos-query-frontend-http.kubecost:{{ .Values.thanos.queryFrontend.http.port }} # an address of the thanos query-frontend endpoint, if different from installed thanos
# queryServiceBasicAuthSecretName: mcdbsecret # kubectl create secret generic mcdbsecret -n kubecost --from-file=USERNAME --from-file=PASSWORD <---enter basic auth credentials like that
# queryServiceBearerTokenSecretName mcdbsecret # kubectl create secret generic mcdbsecret -n kubecost --from-file=TOKEN
# queryOffset: 3h # The offset to apply to all thanos queries in order to achieve synchronization on all cluster block stores
grafana:
enabled: true # If false, Grafana will not be installed
domainName: cost-analyzer-grafana.default.svc # example grafana domain Ignored if enabled: true
scheme: "http" # http or https, for the domain name above.
proxy: true # If true, the kubecost frontend will route to your grafana through its service endpoint
# fqdn: cost-analyzer-grafana.default.svc
# Enable only when you are using GCP Marketplace ENT listing. Learn more at https://console.cloud.google.com/marketplace/product/kubecost-public/kubecost-ent
gcpstore:
enabled: false
# Google Cloud Managed Service for Prometheus
gmp:
# Remember to set up these parameters when install the Kubecost Helm chart with `global.gmp.enabled=true` if you want to use GMP self-deployed collection (Recommended) to utilize Kubecost scrape configs.
# If enabling GMP, it is highly recommended to utilize Google's distribution of Prometheus.
# Learn more at https://cloud.google.com/stackdriver/docs/managed-prometheus/setup-unmanaged
# --set prometheus.server.image.repository="gke.gcr.io/prometheus-engine/prometheus" \
# --set prometheus.server.image.tag="v2.35.0-gmp.2-gke.0"
enabled: false # If true, kubecost will be configured to use GMP Prometheus image and query from Google Cloud Managed Service for Prometheus.
prometheusServerEndpoint: http://localhost:8085/ # The prometheus service endpoint used by kubecost. The calls are forwarded through the GMP Prom proxy side car to the GMP database.
gmpProxy:
enabled: false
image: gke.gcr.io/prometheus-engine/frontend:v0.4.1-gke.0 # GMP Prometheus proxy image that serve as an endpoint to query metrics from GMP
imagePullPolicy: Always
name: gmp-proxy
port: 8085
projectId: YOUR_PROJECT_ID # example GCP project ID
# Amazon Managed Service for Prometheus
amp:
enabled: false # If true, kubecost will be configured to remote_write and query from Amazon Managed Service for Prometheus.
prometheusServerEndpoint: http://localhost:8005/workspaces/<workspaceId>/ # The prometheus service endpoint used by kubecost. The calls are forwarded through the SigV4Proxy side car to the AMP workspace.
remoteWriteService: https://aps-workspaces.us-west-2.amazonaws.com/workspaces/<workspaceId>/api/v1/remote_write # The remote_write endpoint for the AMP workspace.
sigv4:
region: us-west-2
# access_key: ACCESS_KEY # AWS Access key
# secret_key: SECRET_KEY # AWS Secret key
# role_arn: ROLE_ARN # AWS role arn
# profile: PROFILE # AWS profile
# Mimir Proxy to help Kubecost to query metrics from multi-tenant Grafana Mimir.
# Set `global.mimirProxy.enabled=true` and `global.prometheus.enabled=false` to enable Mimir Proxy.
# You also need to set `global.prometheus.fqdn=http://kubecost-cost-analyzer-mimir-proxy.kubecost.svc:8085/prometheus`
# or `global.prometheus.fqdn=http://{{ template "cost-analyzer.fullname" . }}-mimir-proxy.{{ .Release.Namespace }}.svc:8085/prometheus'
# Learn more at https://grafana.com/docs/mimir/latest/operators-guide/secure/authentication-and-authorization/#without-an-authenticating-reverse-proxy
mimirProxy:
enabled: false
name: mimir-proxy
image: nginxinc/nginx-unprivileged
port: 8085
mimirEndpoint: $mimir_endpoint # Your Mimir query endpoint. If your Mimir query endpoint is http://example.com/prometheus, replace $mimir_endpoint with http://example.com/
orgIdentifier: $your_tenant_ID # Your Grafana Mimir tenant ID
# basicAuth:
# username: user
# password: pwd
notifications:
# Kubecost alerting configuration
# Ref: http://docs.kubecost.com/alerts
# alertConfigs:
# frontendUrl: http://localhost:9090 # optional, used for linkbacks
# globalSlackWebhookUrl: https://hooks.slack.com/services/T00000000/B00000000/XXXXXXXXXXXXXXXXXXXXXXXX # optional, used for Slack alerts
# globalMsTeamsWebhookUrl: https://xxxxx.webhook.office.com/webhookb2/XXXXXXXXXXXXXXXXXXXXXXXX/IncomingWebhook/XXXXXXXXXXXXXXXXXXXXXXXX # optional, used for Microsoft Teams alerts
# globalAlertEmails:
# globalEmailSubject: Custom Subject
# Alerts generated by kubecost, about cluster data
# alerts:
# Daily namespace budget alert on namespace `kubecost`
# - type: budget # supported: budget, recurringUpdate
# threshold: 50 # optional, required for budget alerts
# window: daily # or 1d
# aggregation: namespace
# filter: kubecost
# ownerContact: # optional, overrides globalAlertEmails default
# # optional, used for alert-specific Slack and Microsoft Teams alerts
# slackWebhookUrl: https://hooks.slack.com/services/T00000000/B00000000/XXXXXXXXXXXXXXXXXXXXXXXX
# msTeamsWebhookUrl: https://xxxxx.webhook.office.com/webhookb2/XXXXXXXXXXXXXXXXXXXXXXXX/IncomingWebhook/XXXXXXXXXXXXXXXXXXXXXXXX
# Daily cluster budget alert on cluster `cluster-one`
# - type: budget
# threshold: 200.8 # optional, required for budget alerts
# window: daily # or 1d
# aggregation: cluster
# filter: cluster-one # does not accept csv
# Recurring weekly update (weeklyUpdate alert)
# - type: recurringUpdate
# window: weekly # or 7d
# aggregation: namespace
# filter: '*'
# Recurring weekly namespace update on kubecost namespace
# - type: recurringUpdate
# window: weekly # or 7d
# aggregation: namespace
# filter: kubecost
# Spend Change Alert
# - type: spendChange # change relative to moving avg
# relativeThreshold: 0.20 # Proportional change relative to baseline. Must be greater than -1 (can be negative)
# window: 1d # accepts ‘d’, ‘h’
# baselineWindow: 30d # previous window, offset by window
# aggregation: namespace
# filter: kubecost, default # accepts csv
# Health Score Alert
# - type: health # Alerts when health score changes by a threshold
# window: 10m
# threshold: 5 # Send Alert if health scores changes by 5 or more
# Kubecost Health Diagnostic
# - type: diagnostic # Alerts when kubecost is unable to compute costs - ie: Prometheus unreachable
# window: 10m
alertmanager: # Supply an alertmanager FQDN to receive notifications from the app.
enabled: false # If true, allow kubecost to write to your alertmanager
fqdn: http://cost-analyzer-prometheus-server.default.svc # example fqdn. Ignored if prometheus.enabled: true
# Set saved Cost Allocation report(s) accessible from /reports
# Ref: http://docs.kubecost.com/saved-reports
savedReports:
enabled: false # If true, overwrites report parameters set through UI
reports:
- title: "Example Saved Report 0"
window: "today"
aggregateBy: "namespace"
chartDisplay: "category"
idle: "separate"
rate: "cumulative"
accumulate: false # daily resolution
filters: # Ref: https://docs.kubecost.com/apis/apis-overview/filters-api
- key: "cluster" # Ref: https://docs.kubecost.com/apis/apis-overview/filters-api#allocation-apis-request-sizing-v2-api
operator: ":" # Ref: https://docs.kubecost.com/apis/apis-overview/filters-api#filter-operators
value: "dev"
- title: "Example Saved Report 1"
window: "month"
aggregateBy: "controllerKind"
chartDisplay: "category"
idle: "share"
rate: "monthly"
accumulate: false
filters: # Ref: https://docs.kubecost.com/apis/apis-overview/filters-api
- key: "namespace" # Ref: https://docs.kubecost.com/apis/apis-overview/filters-api#allocation-apis-request-sizing-v2-api
operator: "!:" # Ref: https://docs.kubecost.com/apis/apis-overview/filters-api#filter-operators
value: "kubecost"
- title: "Example Saved Report 2"
window: "2020-11-11T00:00:00Z,2020-12-09T23:59:59Z"
aggregateBy: "service"
chartDisplay: "category"
idle: "hide"
rate: "daily"
accumulate: true # entire window resolution
filters: [] # if no filters, specify empty array
# Set saved Asset report(s) accessible from /reports
# Ref: http://docs.kubecost.com/saved-reports
assetReports:
enabled: false # If true, overwrites report parameters set through UI
reports:
- title: "Example Asset Report 0"
window: "today"
aggregateBy: "type"
accumulate: false # daily resolution
filters:
- property: "cluster"
value: "cluster-one"
# Set saved Advanced report(s) accessible from /reports
# Ref: http://docs.kubecost.com/saved-reports
advancedReports:
enabled: false # If true, overwrites report parameters set through UI
reports:
- title: "Example Advanced Report 0"
window: "7d"
aggregateBy: "namespace"
filters: # same as allocation api filters Ref: https://docs.kubecost.com/apis/apis-overview/filters-api
- key: "cluster" # Ref: https://docs.kubecost.com/apis/apis-overview/filters-api#allocation-apis-request-sizing-v2-api
operator: ":" # Ref: https://docs.kubecost.com/apis/apis-overview/filters-api#filter-operators
value: "dev"
cloudBreakdown: "service"
cloudJoin: "label:kubernetes_namespace"
# Set saved Cloud Cost report(s) accessible from /reports
# Ref: http://docs.kubecost.com/saved-reports
cloudCostReports:
enabled: false # If true, overwrites report parameters set through UI
reports:
- title: "Cloud Cost Report 0"
window: "today"
aggregateBy: "service"
accumulate: false # daily resolution
# filters:
# - property: "service"
# value: "service1" # corresponds to a value to filter cloud cost aggregate by service data on.
podAnnotations: {}
# iam.amazonaws.com/role: role-arn
additionalLabels: {}
securityContext:
runAsNonRoot: true
seccompProfile:
type: RuntimeDefault
fsGroup: 1001
runAsGroup: 1001
runAsUser: 1001
fsGroupChangePolicy: OnRootMismatch
containerSecurityContext:
allowPrivilegeEscalation: false
privileged: false
readOnlyRootFilesystem: true
capabilities:
drop:
- ALL
# generated at http://kubecost.com/install, used for alerts tracking and free trials
kubecostToken: # ""
# Advanced pipeline for custom prices, enterprise key required
pricingCsv:
enabled: false
location:
provider: "AWS"
region: "us-east-1"
URI: s3://kc-csv-test/pricing_schema.csv # a valid file URI
csvAccessCredentials: pricing-schema-access-secret
# SAML integration for user management and RBAC, enterprise key required
# Ref: https://github.com/kubecost/docs/blob/main/user-management.md
saml:
enabled: false
# secretName: "kubecost-authzero"
# metadataSecretName: "kubecost-authzero-metadata" # One of metadataSecretName or idpMetadataURL must be set. defaults to metadataURL if set
# idpMetadataURL: "https://dev-elu2z98r.auth0.com/samlp/metadata/c6nY4M37rBP0qSO1IYIqBPPyIPxLS8v2"
# appRootURL: "http://localhost:9090" # sample URL
# authTimeout: 1440 # number of minutes the JWT will be valid
# redirectURL: "https://dev-elu2z98r.auth0.com/v2/logout" # callback URL redirected to after logout
# audienceURI: "http://localhost:9090" # by convention, the same as the appRootURL, but any string uniquely identifying kubecost to your samp IDP. Optional if you follow the convention
# nameIDFormat: "urn:oasis:names:tc:SAML:1.1:nameid-format:unspecified" If your SAML provider requires a specific nameid format
# isGLUUProvider: false # An additional URL parameter must be appended for GLUU providers
# encryptionCertSecret: "kubecost-saml-cert" # k8s secret where the x509 certificate used to encrypt an Okta saml response is stored
# decryptionKeySecret: "kubecost-sank-decryption-key" # k8s secret where the private key associated with the encryptionCertSecret is stored
rbac:
enabled: false
# groups:
# - name: admin
# enabled: false # if admin is disabled, all SAML users will be able to make configuration changes to the kubecost frontend
# assertionName: "http://schemas.auth0.com/userType" # a SAML Assertion, one of whose elements has a value that matches on of the values in assertionValues
# assertionValues:
# - "admin"
# - "superusers"
# - name: readonly
# enabled: false # if readonly is disabled, all users authorized on SAML will default to readonly
# assertionName: "http://schemas.auth0.com/userType"
# assertionValues:
# - "readonly"
# - name: editor
# enabled: true # if editor is enabled, editors will be allowed to edit reports/alerts scoped to them, and act as readers otherwise. Users will never default to editor.
# assertionName: "http://schemas.auth0.com/userType"
# assertionValues:
# - "editor"
oidc:
enabled: false
clientID: "" # application/client client_id parameter obtained from provider, used to make requests to server
clientSecret: "" # application/client client_secret parameter obtained from provider, used to make requests to server
# secretName: "kubecost-oidc-secret" # k8s secret where clientsecret will be stored
# For use to provide a custom OIDC Secret. Overrides the usage of oidc.clientSecret and oidc.secretName.
# Should contain the field directly.
# Can be created using raw k8s secrets, external secrets, sealed secrets, or any other method.
existingCustomSecret:
enabled: false
name: "" # name of the secret containing the client secret
# authURL: "https://my.auth.server/authorize" # endpoint for login to auth server
# loginRedirectURL: "http://my.kubecost.url/model/oidc/authorize" # Kubecost url configured in provider for redirect after authentication
# discoveryURL: "https://my.auth.server/.well-known/openid-configuration" # url for OIDC endpoint discovery
skipOnlineTokenValidation: false # if true, will skip accessing OIDC introspection endpoint for online token verification, and instead try to locally validate JWT claims
# hostedDomain: "example.com" # optional, blocks access to the auth domain specified in the hd claim of the provider ID token
rbac:
enabled: false
# groups:
# - name: admin
# enabled: false # if admin is disabled, all authenticated users will be able to make configuration changes to the kubecost frontend
# claimName: "roles" # Kubecost matches this string against the JWT's payload key containing RBAC info (this value is unique across identity providers)
# claimValues: # Kubecost matches these strings with the roles created in your identity provider
# - "admin"
# - "superusers"
# - name: readonly
# enabled: false # if readonly is disabled, all authenticated users will default to readonly
# claimName: "roles"
# claimValues:
# - "readonly"
# - name: editor
# enabled: false # if editor is enabled, editors will be allowed to edit reports/alerts scoped to them, and act as readers otherwise. Users will never default to editor.
# claimName: "roles"
# claimValues:
# - "editor"
## Adds the HTTP_PROXY, HTTPS_PROXY, and NO_PROXY environment variables to all
## containers. Typically used in environments that have firewall rules which
## prevent kubecost from accessing cloud provider resources.
## Ref: https://www.oreilly.com/library/view/security-with-go/9781788627917/5ea6a02b-3d96-44b1-ad3c-6ab60fcbbe4f.xhtml
##
systemProxy:
enabled: false
httpProxyUrl: ""
httpsProxyUrl: ""
noProxy: ""
# imagePullSecrets:
# - name: "image-pull-secret"
kubecostFrontend:
enabled: true
image: "gcr.io/kubecost1/frontend"
imagePullPolicy: Always
# extraEnv:
# - name: NGINX_ENTRYPOINT_WORKER_PROCESSES_AUTOTUNE
# value: "1"
# securityContext:
# readOnlyRootFilesystem: true
resources:
requests:
cpu: "10m"
memory: "55Mi"
# limits:
# cpu: "100m"
# memory: "256Mi"
livenessProbe:
enabled: true
initialDelaySeconds: 30
periodSeconds: 10
failureThreshold: 200
ipv6:
enabled: true # disable if the cluster does not support ipv6
# timeoutSeconds: 600 # should be rarely used, but can be increased if needed
# allow customizing nginx-conf server block
# extraServerConfig: |-
# proxy_busy_buffers_size 512k;
# proxy_buffers 4 512k;
# proxy_buffer_size 256k;
# large_client_header_buffers 4 64k;
# hideDiagnostics: false # useful if the primary is not monitored. Supported in limited environments.
# hideOrphanedResources: false # OrphanedResources works on the primary-cluster's cloud-provider only.
# api:
# fqdn: kubecost-api.kubecost.svc.cluster.local:9001
# model:
# fqdn: kubecost-model.kubecost.svc.cluster.local:9003
# Kubecost Metrics deploys a separate pod which will emit kubernetes specific metrics required
# by the cost-model. This pod is designed to remain active and decoupled from the cost-model itself.
# However, disabling this service/pod deployment will flag the cost-model to emit the metrics instead.
kubecostMetrics:
# emitPodAnnotations: false
# emitNamespaceAnnotations: false
# emitKsmV1Metrics: true # emit all KSM metrics in KSM v1.
# emitKsmV1MetricsOnly: false # emit only the KSM metrics missing from KSM v2. Advanced users only.
# Optional
# The metrics exporter is a separate deployment and service (for prometheus scrape auto-discovery)
# which emits metrics cost-model relies on. Enabling this deployment also removes the KSM dependency
# from the cost-model. If the deployment is not enabled, the metrics will continue to be emitted from
# the cost-model.
exporter:
enabled: false
port: 9005
# Adds the default Prometheus scrape annotations to the metrics exporter service.
# Set to false and use service.annotations (below) to set custom scrape annotations.
prometheusScrape: true
resources: {}
# requests:
# cpu: "200m"
# memory: "55Mi"
## Node tolerations for server scheduling to nodes with taints
## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
tolerations: []
# - key: "key"
# operator: "Equal|Exists"
# value: "value"
# effect: "NoSchedule|PreferNoSchedule|NoExecute(1.6 only)"
affinity: {}
service:
annotations: {}
# Service Monitor for Kubecost Metrics
serviceMonitor: # the kubecost included prometheus uses scrapeConfigs and does not support service monitors. The following options assume an existing prometheus that supports serviceMonitors.
enabled: false
additionalLabels: {}
metricRelabelings: []
relabelings: []
## PriorityClassName
## Ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/#priorityclass
priorityClassName: ""
additionalLabels: {}
nodeSelector: {}
extraArgs: []
sigV4Proxy:
image: public.ecr.aws/aws-observability/aws-sigv4-proxy:latest
imagePullPolicy: Always
name: aps
port: 8005
region: us-west-2 # The AWS region
host: aps-workspaces.us-west-2.amazonaws.com # The hostname for AMP service.
# role_arn: arn:aws:iam::<account>:role/role-name # The AWS IAM role to assume.
extraEnv: # Pass extra env variables to sigV4Proxy
# - name: AWS_ACCESS_KEY_ID
# value: <access_key>
# - name: AWS_SECRET_ACCESS_KEY
# value: <secret_key>
kubecostModel:
image: "gcr.io/kubecost1/cost-model"
imagePullPolicy: Always
# set to 'true' to utilize images on the public Quay repository
# openSourceOnly: false
# extraEnv:
# - name: SOME_VARIABLE
# value: "some_value"
# securityContext:
# readOnlyRootFilesystem: true
# Enables the emission of the kubecost_cloud_credit_total and
# kubecost_cloud_expense_total metrics
outOfClusterPromMetricsEnabled: false
# Build local cost allocation cache
warmCache: false
# Build local savings cache
warmSavingsCache: true
# Run allocation ETL pipelines
etl: true
# Enable the ETL filestore backing storage
etlFileStoreEnabled: true
# The total number of days the ETL pipelines will build
# Set to 0 to disable daily ETL (not recommended)
etlDailyStoreDurationDays: 91
# The total number of hours the ETL pipelines will build
# Set to 0 to disable hourly ETL (not recommended)
etlHourlyStoreDurationHours: 49
# The total number of weeks the ETL pipelines will build
# Set to 0 to disable weekly ETL (not recommended)
# The default is 53 to ensure at least a year of coverage (371 days)
etlWeeklyStoreDurationWeeks: 53
# For deploying kubecost in a cluster that does not self-monitor
etlReadOnlyMode: false
## Feature to view your out-of-cluster costs and their k8s utilization
## Ref: https://docs.kubecost.com/using-kubecost/navigating-the-kubecost-ui/cloud-costs-explorer
cloudCost:
enabled: true
labelList:
IsIncludeList: false
# format labels as comma separated string (ex. "label1,label2,label3")
labels: ""
topNItems: 1000
allocation:
# Enables or disables adding node labels to allocation data (i.e. workloads).
# Defaults to "true" and starts with a sensible includeList for basics like
# topology (e.g. zone, region) and instance type labels.
# nodeLabels:
# enabled: true
# includeList: "node.kubernetes.io/instance-type,topology.kubernetes.io/region,topology.kubernetes.io/zone"
# Enables or disables the ContainerStats pipeline, used for quantile-based
# queries like for request sizing recommendations.
# ContainerStats provides support for quantile-based request right-sizing
# recommendations.
#
# It is disabled by default to avoid problems in extremely high-scale Thanos
# environments. If you would like to try quantile-based request-sizing
# recommendations, enable this! If you are in a high-scale environment,
# please monitor Kubecost logs, Thanos query logs, and Thanos load closely.
# We hope to make major improvements at scale here soon!
#
# containerStatsEnabled: false
# max number of concurrent Prometheus queries
maxQueryConcurrency: 5
resources:
requests:
cpu: "200m"
memory: "55Mi"
# limits:
# cpu: "800m"
# memory: "256Mi"
livenessProbe:
enabled: false
initialDelaySeconds: 30
periodSeconds: 10
failureThreshold: 200
extraArgs: []
# Optional. A list of extra environment variables to be added to the cost-model container.
# extraEnv: []
# - name: LOG_LEVEL
# value: trace
# - name: LOG_FORMAT
# value: json
# creates an ingress directly to the model container, for API access
ingress:
enabled: false
# className: nginx
labels:
# kubernetes.io/ingress.class: nginx
# kubernetes.io/tls-acme: "true"
annotations:
# kubernetes.io/ingress.class: nginx
# kubernetes.io/tls-acme: "true"
paths: ["/"]
pathType: ImplementationSpecific
hosts:
- cost-analyzer-model.local
tls: []
# - secretName: cost-analyzer-model-tls
# hosts:
# - cost-analyzer-model.local
utcOffset: "+00:00"
# Optional - add extra ports to the cost-model container. For kubecost development purposes only - not recommended for users.
extraPorts: []
# - name: debug
# port: 40000
# targetPort: 40000
# containerPort: 40000
# etlUtils is a utility currently used by Kubecost internal support to implement specific functionality related to Thanos conversion.
etlUtils:
enabled: false
fullImageName: null
resources: {}
env: {}
nodeSelector: {}
tolerations: {}
affinity: {}
# Basic Kubecost ingress, more examples available at https://github.com/kubecost/docs/blob/main/ingress-examples.md
ingress:
enabled: false
# className: nginx
labels:
# kubernetes.io/ingress.class: nginx
# kubernetes.io/tls-acme: "true"
annotations:
# kubernetes.io/ingress.class: nginx
# kubernetes.io/tls-acme: "true"
paths: ["/"] # There's no need to route specifically to the pods-- we have an nginx deployed that handles routing
pathType: ImplementationSpecific
hosts:
- cost-analyzer.local
tls: []
# - secretName: cost-analyzer-tls
# hosts:
# - cost-analyzer.local
nodeSelector: {}
tolerations: []
# - key: "key"
# operator: "Equal|Exists"
# value: "value"
# effect: "NoSchedule|PreferNoSchedule|NoExecute(1.6 only)"
affinity: {}
# If true, creates a PriorityClass to be used by the cost-analyzer pod
priority:
enabled: false
name: "" # Provide name of existing priority class only. If left blank, upstream chart will create one from default template.
# value: 1000000
# If true, enable creation of NetworkPolicy resources.
networkPolicy:
enabled: false
denyEgress: true # create a network policy that denies egress from kubecost
sameNamespace: true # Set to true if cost analyzer and prometheus are on the same namespace
# namespace: kubecost # Namespace where prometheus is installed
# Cost-analyzer specific vars using the new template
costAnalyzer:
enabled: false # If true, create a network policy for cost-analyzer
annotations: {} # annotations to be added to the network policy
additionalLabels: {} # additional labels to be added to the network policy
# Examples rules:
# ingressRules:
# - selectors: # allow ingress from self on all ports
# - podSelector:
# matchLabels:
# app.kubernetes.io/name: cost-analyzer
# - selectors: # allow egress access to prometheus
# - namespaceSelector:
# matchLabels:
# name: prometheus
# podSelector:
# matchLabels:
# app: prometheus
# ports:
# - protocol: TCP
# port: 9090
# egressRules:
# - selectors: # restrict egress to inside cluster
# - namespaceSelector: {}
podSecurityPolicy:
enabled: false
## @param extraVolumes A list of volumes to be added to the pod
##
extraVolumes: []
## @param extraVolumeMounts A list of volume mounts to be added to the pod
##
extraVolumeMounts: []
# Define persistence volume for cost-analyzer, more information at https://docs.kubecost.com/install-and-configure/install/storage
persistentVolume:
size: 32Gi
dbSize: 32.0Gi
enabled: true # Note that setting this to false means configurations will be wiped out on pod restart.
# storageClass: "-" #
# existingClaim: kubecost-cost-analyzer # a claim in the same namespace as kubecost
labels: {}
annotations: {}
service:
type: ClusterIP
port: 9090
targetPort: 9090
# nodePort:
labels: {}
annotations: {}
sessionAffinity:
enabled: false # Makes sure that connections from a client are passed to the same Pod each time, when set to `true`. You should set it when you enabled authentication through OIDC or SAML integration.
timeoutSeconds: 10800
# Enabling long-term durable storage with Postgres requires an enterprise license
remoteWrite:
postgres:
enabled: false
initImage: "gcr.io/kubecost1/sql-init"
initImagePullPolicy: Always
installLocal: true
remotePostgresAddress: "" # ignored if installing locally
## PriorityClassName
## Ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/#priorityclass
priorityClassName: ""
persistentVolume:
size: 200Gi
auth:
password: admin # change me
prometheus:
podSecurityPolicy:
enabled: false
extraScrapeConfigs: |
- job_name: kubecost
honor_labels: true
scrape_interval: 1m
scrape_timeout: 60s
metrics_path: /metrics
scheme: http
dns_sd_configs:
- names:
- {{ template "cost-analyzer.serviceName" . }}
type: 'A'
port: 9003
- job_name: kubecost-networking
kubernetes_sd_configs:
- role: pod
relabel_configs:
# Scrape only the the targets matching the following metadata
- source_labels: [__meta_kubernetes_pod_label_app_kubernetes_io_instance]
action: keep
regex: kubecost
- source_labels: [__meta_kubernetes_pod_label_app_kubernetes_io_name]
action: keep
regex: network-costs
server:
# If clusterIDConfigmap is defined, instead use user-generated configmap with key CLUSTER_ID
# to use as unique cluster ID in kubecost cost-analyzer deployment.
# This overrides the cluster_id set in prometheus.server.global.external_labels.
# NOTE: This does not affect the external_labels set in prometheus config.
# clusterIDConfigmap: cluster-id-configmap
resources: {}
# limits:
# cpu: 500m
# memory: 512Mi
# requests:
# cpu: 500m
# memory: 512Mi
global:
scrape_interval: 1m
scrape_timeout: 60s
evaluation_interval: 1m
external_labels:
cluster_id: cluster-one # Each cluster should have a unique ID
persistentVolume:
size: 32Gi
enabled: true
extraArgs:
query.max-concurrency: 1
query.max-samples: 100000000
tolerations: []
# - key: "key"
# operator: "Equal|Exists"
# value: "value"
# effect: "NoSchedule|PreferNoSchedule|NoExecute(1.6 only)"
# retention: 50h This must be greater than or equal to etlHourlyStoreDurationHours
# retentionSize: should be significantly greater than the storage used in the number of hours set in etlHourlyStoreDurationHours
alertmanager:
enabled: false
persistentVolume:
enabled: true
# node-export must be disabled if there is an existing daemonset: https://guide.kubecost.com/hc/en-us/articles/4407601830679-Troubleshoot-Install#a-name-node-exporter-a-issue-failedscheduling-kubecost-prometheus-node-exporter
nodeExporter:
enabled: true
## Default disabled since Kubecost already emits KSMv1 metrics.
## Ref: https://docs.kubecost.com/architecture/ksm-metrics
kubeStateMetrics:
enabled: false
kube-state-metrics:
disabled: true
pushgateway:
enabled: false
persistentVolume:
enabled: true
serverFiles:
# prometheus.yml: # Sample block -- enable if using an in cluster durable store.
# remote_write:
# - url: "http://pgprometheus-adapter:9201/write"
# write_relabel_configs:
# - source_labels: [__name__]
# regex: 'container_.*_allocation|container_.*_allocation_bytes|.*_hourly_cost|kube_pod_container_resource_requests{resource="memory", unit="byte"}|container_memory_working_set_bytes|kube_pod_container_resource_requests{resource="cpu", unit="core"}|kube_pod_container_resource_requests|pod_pvc_allocation|kube_namespace_labels|kube_pod_labels'
# action: keep
# queue_config:
# max_samples_per_send: 1000
# remote_read:
# - url: "http://pgprometheus-adapter:9201/read"
rules:
groups:
- name: CPU
rules:
- expr: sum(rate(container_cpu_usage_seconds_total{container!=""}[5m]))
record: cluster:cpu_usage:rate5m
- expr: rate(container_cpu_usage_seconds_total{container!=""}[5m])
record: cluster:cpu_usage_nosum:rate5m
- expr: avg(irate(container_cpu_usage_seconds_total{container!="POD", container!=""}[5m])) by (container,pod,namespace)
record: kubecost_container_cpu_usage_irate
- expr: sum(container_memory_working_set_bytes{container!="POD",container!=""}) by (container,pod,namespace)
record: kubecost_container_memory_working_set_bytes
- expr: sum(container_memory_working_set_bytes{container!="POD",container!=""})
record: kubecost_cluster_memory_working_set_bytes
- name: Savings
rules:
- expr: sum(avg(kube_pod_owner{owner_kind!="DaemonSet"}) by (pod) * sum(container_cpu_allocation) by (pod))
record: kubecost_savings_cpu_allocation
labels:
daemonset: "false"
- expr: sum(avg(kube_pod_owner{owner_kind="DaemonSet"}) by (pod) * sum(container_cpu_allocation) by (pod)) / sum(kube_node_info)
record: kubecost_savings_cpu_allocation
labels:
daemonset: "true"
- expr: sum(avg(kube_pod_owner{owner_kind!="DaemonSet"}) by (pod) * sum(container_memory_allocation_bytes) by (pod))
record: kubecost_savings_memory_allocation_bytes
labels:
daemonset: "false"
- expr: sum(avg(kube_pod_owner{owner_kind="DaemonSet"}) by (pod) * sum(container_memory_allocation_bytes) by (pod)) / sum(kube_node_info)
record: kubecost_savings_memory_allocation_bytes
labels:
daemonset: "true"
## Module for measuring network costs
## Ref: https://github.com/kubecost/docs/blob/main/network-allocation.md
networkCosts:
enabled: false
podSecurityPolicy:
enabled: false
image: gcr.io/kubecost1/kubecost-network-costs:v0.17.2
imagePullPolicy: Always
updateStrategy:
type: RollingUpdate
# For existing Prometheus Installs, annotates the Service which generates Endpoints for each of the network-costs pods.
# The Service is annotated with prometheus.io/scrape: "true" to automatically get picked up by the prometheus config.
# NOTE: Setting this option to true and leaving the above extraScrapeConfig "job_name: kubecost-networking" configured will cause the
# NOTE: pods to be scraped twice.
prometheusScrape: false
# Traffic Logging will enable logging the top 5 destinations for each source
# every 30 minutes.
trafficLogging: true
# Port will set both the containerPort and hostPort to this value.
# These must be identical due to network-costs being run on hostNetwork
port: 3001
# this daemonset can use significant resources on large clusters: https://guide.kubecost.com/hc/en-us/articles/4407595973527-Network-Traffic-Cost-Allocation
resources:
limits: # remove the limits by setting cpu: null
cpu: 500m # can be less, will depend on cluster size
# memory: it is not recommended to set a memory limit
requests:
cpu: 50m
memory: 20Mi
extraArgs: []
config:
# Configuration for traffic destinations, including specific classification
# for IPs and CIDR blocks. This configuration will act as an override to the
# automatic classification provided by network-costs.
destinations:
# In Zone contains a list of address/range that will be
# classified as in zone.
in-zone:
# Loopback Addresses in "IANA IPv4 Special-Purpose Address Registry"
- "127.0.0.0/8"
# IPv4 Link Local Address Space
- "169.254.0.0/16"
# Private Address Ranges in RFC-1918
- "10.0.0.0/8" # Remove this entry if using Multi-AZ Kubernetes
- "172.16.0.0/12"
- "192.168.0.0/16"
# In Region contains a list of address/range that will be
# classified as in region. This is synonymous with cross
# zone traffic, where the regions between source and destinations
# are the same, but the zone is different.
in-region: []
# Cross Region contains a list of address/range that will be
# classified as non-internet egress from one region to another.
cross-region: []
# Internet contains a list of address/range that will be
# classified as internet traffic. This is synonymous with traffic
# that cannot be classified within the cluster.
# NOTE: Internet classification filters are executed _after_
# NOTE: direct-classification, but before in-zone, in-region,
# NOTE: and cross-region.
internet: []
# Direct Classification specifically maps an ip address or range
# to a region (required) and/or zone (optional). This classification
# takes priority over in-zone, in-region, and cross-region configurations.
direct-classification: []
# - region: "us-east1"
# zone: "us-east1-c"
# ips:
# - "10.0.0.0/24"
services:
# google-cloud-services: when set to true, enables labeling traffic metrics with google cloud
# service endpoints
google-cloud-services: false
# amazon-web-services: when set to true, enables labeling traffic metrics with amazon web service
# endpoints.
amazon-web-services: false
# azure-cloud-services: when set to true, enables labeling traffic metrics with azure cloud service
# endpoints
azure-cloud-services: false
# user defined services provide a way to define custom service endpoints which will label traffic metrics
# falling within the defined address range.
# services:
# - service: "test-service-1"
# ips:
# - "19.1.1.2"
# - service: "test-service-2"
# ips:
# - "15.128.15.2"
# - "20.0.0.0/8"
## Node tolerations for server scheduling to nodes with taints
## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
##
tolerations: []
# - key: "key"
# operator: "Equal|Exists"
# value: "value"
# effect: "NoSchedule|PreferNoSchedule|NoExecute(1.6 only)"
affinity: {}
service:
annotations: {}
labels: {}
## PriorityClassName
## Ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/#priorityclass
priorityClassName: ""
## PodMonitor
## Allows scraping of network metrics from a dedicated prometheus operator setup
podMonitor:
enabled: false
additionalLabels: {}
# match the default extraScrapeConfig
additionalLabels: {}
nodeSelector: {}
annotations: {}
healthCheckProbes: {}
# readinessProbe:
# tcpSocket:
# port: 3001
# initialDelaySeconds: 5
# periodSeconds: 10
# failureThreshold: 5
# livenessProbe:
# tcpSocket:
# port: 3001
# initialDelaySeconds: 5
# periodSeconds: 10
# failureThreshold: 5
additionalSecurityContext: {}
# readOnlyRootFilesystem: true
## Kubecost Deployment Configuration
## Used for HA mode in Business & Enterprise tier
##
kubecostDeployment:
# Instead of a kubecost-analyzer Deployment, you can set it to be a StatefulSet as for volumeClaimTemplates usage and real stateful behaviour
statefulSet:
enabled: false
replicas: 1
leaderFollower:
enabled: false
# deploymentStrategy:
# rollingUpdate:
# maxSurge: 1
# maxUnavailable: 1
# type: RollingUpdate
labels: {}
annotations: {}
## QueryServiceReplicas
## Ref: https://docs.kubecost.com/install-and-configure/advanced-configuration/query-service-replicas
##
queryServiceReplicas: 0
queryService:
serviceAccount:
create: true
annotations: {}
# name: kc-qs-test
securityContext:
runAsGroup: 1001
runAsUser: 1001
fsGroup: 1001
fsGroupChangePolicy: OnRootMismatch
runAsNonRoot: false
seccompProfile:
type: RuntimeDefault
containerSecurityContext:
allowPrivilegeEscalation: true
readOnlyRootFilesystem: false
capabilities:
drop:
- ALL
resources:
requests:
## You can use the Kubecost savings report for 'Right-size your
## container requests' to determine the recommended resource requests
## once the pod has run for 24 hours.
cpu: 1000m
memory: 500Mi
## default storage class
storageClass: ""
databaseVolumeSize: 100Gi
configVolumeSize: 1Gi
initImage: {}
# Optional - add extra ports to the query service container. For kubecost development purposes only - not recommended for users.
extraPorts: []
# - name: debug
# port: 40000
# targetPort: 40000
# containerPort: 40000
## The Kubecost Aggregator is a high scale implementation of Kubecost intended
## for large datasets and/or high query load. At present, this should only be
## enabled when recommended by Kubecost staff.
##
kubecostAggregator:
enabled: false