vector

Helm chart

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# Default values for Vector

# See Vector helm documentation to learn more:

# https://vector.dev/docs/setup/installation/package-managers/helm/

# nameOverride -- Override the name of resources.

nameOverride: ""

# fullnameOverride -- Override the full name of resources.

fullnameOverride: ""

# role -- [Role](https://vector.dev/docs/setup/deployment/roles/) for this Vector instance, valid options are:

# "Agent", "Aggregator", and "Stateless-Aggregator".

# Each role is created with the following workloads:

# Agent = DaemonSet

# Aggregator = StatefulSet

# Stateless-Aggregator = Deployment

role: "Aggregator"

# Workload API version overrides. Use these to switch to custom controllers

# or to test new Kubernetes API versions.

daemonSet:

# daemonSet.apiVersion -- Override the DaemonSet apiVersion. Valid for the "Agent" role.

apiVersion: ""

statefulSet:

# statefulSet.apiVersion -- Override the StatefulSet apiVersion. Valid for the "Aggregator" role.

apiVersion: ""

# rollWorkload -- Add a checksum of the generated ConfigMap to workload annotations.

rollWorkload: true

# rollWorkloadSecrets -- Add a checksum of the generated Secret to workload annotations.

rollWorkloadSecrets: false

# rollWorkloadExtraObjects -- Add a checksum of the generated ExtraObjects to workload annotations.

rollWorkloadExtraObjects: false

# commonLabels -- Add additional labels to all created resources.

commonLabels: {}

# Define the Vector image to use.

# Vector images are available from:

# - Docker Hub: docker.io/timberio/vector

# - GitHub Container Registry: ghcr.io/vectordotdev/vector

image:

# image.repository -- Override default registry and name for Vector's image.

repository: cgr.dev/chainguard-private/vector

# image.pullPolicy -- The [pullPolicy](https://kubernetes.io/docs/concepts/containers/images/#image-pull-policy) for

# Vector's image.

pullPolicy: IfNotPresent

# image.pullSecrets -- The [imagePullSecrets](https://kubernetes.io/docs/concepts/containers/images/#specifying-imagepullsecrets-on-a-pod)

# to reference for the Vector Pods.

pullSecrets: []

# image.tag -- The tag to use for Vector's image.

# @default -- Derived from the Chart's appVersion.

tag: latest

# image.sha -- The SHA to use for Vector's image.

sha: sha256:4408975d24ed9affd6162566d6be27a7b41c3fed0688c3b05daa9075a285761d

# image.base -- The base distribution to use for vector. If set, then the base in appVersion will be replaced with this base alongside the version.

# For example: with a `base` of `debian` `0.38.0-distroless-libc` becomes `0.38.0-debian`

base: ""

# replicas -- Specify the number of Pods to create. Valid for the "Aggregator" and "Stateless-Aggregator" roles.

replicas: 1

# Adding additional entries with hostAliases

hostAliases: []

# - ip: "127.0.0.1"

# hostnames:

# - "foo.local"

# - "bar.local"

# podManagementPolicy -- Specify the [podManagementPolicy](https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#pod-management-policies)

# for the StatefulSet. Valid for the "Aggregator" role.

podManagementPolicy: OrderedReady

# Create a Secret resource for Vector to use.

secrets:

# secrets.generic -- Each Key/Value will be added to the Secret's data key, each value should be raw and NOT base64

# encoded. Any secrets can be provided here. It's commonly used for credentials and other access related values.

# **NOTE: Don't commit unencrypted secrets to git!**

generic: {}

# my_variable: "my-secret-value"

# datadog_api_key: "api-key"

# awsAccessKeyId: "access-key"

# awsSecretAccessKey: "secret-access-key"

autoscaling:

# autoscaling.enabled -- Create a [HorizontalPodAutoscaler](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/)

# for Vector. Valid for the "Aggregator" and "Stateless-Aggregator" roles.

enabled: false

# autoscaling.external -- Set to `true` if using an external autoscaler like [KEDA](https://keda.sh/).

# Valid for the "Aggregator and "Stateless-Aggregator" roles.

external: false

# autoscaling.annotations -- Annotations to add to Vector's HPA.

annotations: {}

# autoscaling.minReplicas -- Minimum replicas for Vector's HPA.

minReplicas: 1

# autoscaling.maxReplicas -- Maximum replicas for Vector's HPA.

maxReplicas: 10

# autoscaling.targetCPUUtilizationPercentage -- Target CPU utilization for Vector's HPA.

targetCPUUtilizationPercentage: 80

# autoscaling.targetMemoryUtilizationPercentage -- (int) Target memory utilization for Vector's HPA.

targetMemoryUtilizationPercentage:

# autoscaling.customMetric -- Target a custom metric for autoscaling.

customMetric: {}

# - type: Pods

# pods:

# metric:

# name: utilization

# target:

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# type: AverageValue

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# averageValue: 95

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# autoscaling.behavior -- Configure separate scale-up and scale-down behaviors.

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behavior: {}

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# scaleDown:

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# stabilizationWindowSeconds: 300

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podDisruptionBudget:

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# podDisruptionBudget.enabled -- Enable a [PodDisruptionBudget](https://kubernetes.io/docs/tasks/run-application/configure-pdb/)

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# for Vector.

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enabled: false

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# podDisruptionBudget.minAvailable -- The number of Pods that must still be available after an eviction.

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minAvailable: 1

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# podDisruptionBudget.maxUnavailable -- (int) The number of Pods that can be unavailable after an eviction.

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maxUnavailable:

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rbac:

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# rbac.create -- If true, create and use RBAC resources. Only valid for the "Agent" role.

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create: true

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# rbac.extraRules -- List of additional Kubernetes RBAC rules to append to the ClusterRole.

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# Rules defined here are appended after the chart's standard rules.

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# Each item must follow the Kubernetes ClusterRole rule syntax.

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# Example:

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# extraRules:

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# - apiGroups: [""]

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# resources: ["nodes/metrics", "nodes/stats"]

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# verbs: ["get"]

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extraRules: []

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psp:

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# psp.create -- If true, create a [PodSecurityPolicy](https://kubernetes.io/docs/concepts/security/pod-security-policy/)

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# resource. PodSecurityPolicy is deprecated as of Kubernetes v1.21, and will be removed in v1.25. Intended for use

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# with the "Agent" role.

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create: false

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serviceAccount:

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# serviceAccount.create -- If true, create a ServiceAccount for Vector.

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create: true

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# serviceAccount.annotations -- Annotations to add to Vector's ServiceAccount.

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annotations: {}

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# serviceAccount.name -- The name of the ServiceAccount to use. If not set and serviceAccount.create is true, a name

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# is generated using the fullname template.

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name:

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# serviceAccount.automountToken -- Automount API credentials for Vector's ServiceAccount.

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automountToken: true

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# podAnnotations -- Set annotations on Vector Pods.

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podAnnotations: {}

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# podLabels -- Set labels on Vector Pods.

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podLabels:

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vector.dev/exclude: "true"

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# podPriorityClassName -- Set the [priorityClassName](https://kubernetes.io/docs/concepts/scheduling-eviction/pod-priority-preemption/#priorityclass)

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# on Vector Pods.

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podPriorityClassName: ""

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# podHostNetwork -- Configure hostNetwork on Vector Pods.

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podHostNetwork: false

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# podSecurityContext -- Allows you to overwrite the default [PodSecurityContext](https://kubernetes.io/docs/tasks/configure-pod-container/security-context/)

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# for Vector Pods.

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podSecurityContext: {}

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# workloadResourceAnnotations -- Set annotations on the Vector DaemonSet, Deployment or StatefulSet.

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workloadResourceAnnotations: {}

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# securityContext -- Specify securityContext on Vector containers.

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securityContext: {}

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# command -- Override Vector's default command.

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command: []

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# args -- Override Vector's default arguments.

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args:

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- --config-dir

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- "/etc/vector/"

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# env -- Set environment variables for Vector containers.

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env: []

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# - name: MY_VARIABLE

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# valueFrom:

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# secretKeyRef:

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# name: vector

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# key: my_variable

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# - name: AWS_ACCESS_KEY_ID

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# valueFrom:

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# secretKeyRef:

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# name: vector

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# key: awsAccessKeyId

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# envFrom -- Define environment variables from Secrets or ConfigMaps.

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envFrom: []

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# - secretRef:

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# name: vector

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# containerPorts -- Manually define Vector's containerPorts, overriding automated generation of containerPorts.

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containerPorts: []

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# resources -- Set Vector resource requests and limits.

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resources: {}

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# requests:

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# cpu: 200m

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# memory: 256Mi

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# limits:

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# cpu: 200m

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# memory: 256Mi

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# lifecycle -- Set lifecycle hooks for Vector containers.

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lifecycle: {}

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# preStop:

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# exec:

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# command:

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# - /bin/sleep

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# - "10"

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# minReadySeconds -- Specify the minimum number of seconds a newly spun up pod should wait to

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# pass healthchecks before it is considered available.

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minReadySeconds: 0

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# revisionHistoryLimit -- The number of historical changes to retain to allow rollback. Valid for all roles (Agent, Aggregator, Stateless-Aggregator).

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# defaults to 10 if not set

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# revisionHistoryLimit: 10

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# updateStrategy -- Customize the updateStrategy used to replace Vector Pods, this is also used for the

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# DeploymentStrategy for the "Stateless-Aggregators". Valid options depend on the chosen role.

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# Agent (DaemonSetUpdateStrategy): https://kubernetes.io/docs/reference/kubernetes-api/workload-resources/daemon-set-v1/#DaemonSetSpec)

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# Aggregator (StatefulSetUpdateStrategy): https://kubernetes.io/docs/reference/kubernetes-api/workload-resources/stateful-set-v1/#StatefulSetSpec

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# Stateless-Aggregator (DeploymentStrategy): https://kubernetes.io/docs/reference/kubernetes-api/workload-resources/deployment-v1/

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updateStrategy: {}

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# type: RollingUpdate

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# rollingUpdate:

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# maxUnavailable: 1

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# terminationGracePeriodSeconds -- Override Vector's terminationGracePeriodSeconds.

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terminationGracePeriodSeconds: 60

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# nodeSelector -- Configure a [nodeSelector](https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#nodeselector)

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# for Vector Pods.

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nodeSelector: {}

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# tolerations -- Configure Vector Pods to be scheduled on [tainted](https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/)

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# nodes.

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tolerations: []

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# affinity -- Configure [affinity](https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#affinity-and-anti-affinity)

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# rules for Vector Pods.

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affinity: {}

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# topologySpreadConstraints -- Configure [topology spread constraints](https://kubernetes.io/docs/concepts/scheduling-eviction/topology-spread-constraints/)

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# for Vector Pods. Valid for the "Aggregator" and "Stateless-Aggregator" roles.

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topologySpreadConstraints: []

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# Configuration for Vector's Service.

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service:

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# service.enabled -- If true, create and provide a Service resource for Vector.

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enabled: true

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# service.type -- Set the type for Vector's Service.

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type: "ClusterIP"

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# service.annotations -- Set annotations on Vector's Service.

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annotations: {}

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# service.topologyKeys -- Specify the [topologyKeys](https://kubernetes.io/docs/concepts/services-networking/service-topology/#using-service-topology)

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# field on Vector's Service.

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topologyKeys: []

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# - "kubernetes.io/hostname"

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# - "topology.kubernetes.io/zone"

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# - "topology.kubernetes.io/region"

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# - "*"

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# service.ports -- Manually set the Service ports, overriding automated generation of Service ports.

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ports: []

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# service.externalTrafficPolicy -- Specify the [externalTrafficPolicy](https://kubernetes.io/docs/tasks/access-application-cluster/create-external-load-balancer/#preserving-the-client-source-ip).

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externalTrafficPolicy: ""

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# service.internalTrafficPolicy -- Specify the [internalTrafficPolicy](https://kubernetes.io/docs/concepts/services-networking/service-traffic-policy).

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internalTrafficPolicy: ""

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# service.loadBalancerIP -- Specify the [loadBalancerIP](https://kubernetes.io/docs/concepts/services-networking/service/#loadbalancer).

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loadBalancerIP: ""

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# service.ipFamilyPolicy -- Configure [IPv4/IPv6 dual-stack](https://kubernetes.io/docs/concepts/services-networking/dual-stack/).

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ipFamilyPolicy: ""

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# service.ipFamilies -- Configure [IPv4/IPv6 dual-stack](https://kubernetes.io/docs/concepts/services-networking/dual-stack/).

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ipFamilies: []

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# service.trafficDistribution -- Specify the [Traffic distribution](https://kubernetes.io/docs/concepts/services-networking/service/#traffic-distribution)

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# additional Topology Aware Routing may be informative. Specify the [Topology Aware Routing](https://kubernetes.io/docs/concepts/services-networking/topology-aware-routing/)

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trafficDistribution: ""

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# Configuration for Vector's Headless Service.

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serviceHeadless:

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# serviceHeadless.enabled -- If true, create and provide a Headless Service resource for Vector.

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enabled: true

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# Configuration for Vector's Ingress.

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ingress:

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# ingress.enabled -- If true, create and use an Ingress resource.

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enabled: false

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# ingress.className -- Specify the [ingressClassName](https://kubernetes.io/blog/2020/04/02/improvements-to-the-ingress-api-in-kubernetes-1.18/#specifying-the-class-of-an-ingress),

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# requires Kubernetes >= 1.18

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className: ""

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# ingress.annotations -- Set annotations on the Ingress.

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annotations: {}

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# kubernetes.io/ingress.class: nginx

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# kubernetes.io/tls-acme: "true"

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# ingress.hosts -- Configure the hosts and paths for the Ingress.

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hosts: []

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# - host: chart-example.local

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# paths:

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# - path: /

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# pathType: ImplementationSpecific

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# # Specify the port name or number on the Service

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# # Using name requires Kubernetes >=1.19

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# port:

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# name: ""

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# number: ""

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# ingress.tls -- Configure TLS for the Ingress.

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tls: []

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# - secretName: chart-example-tls

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# hosts:

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# - chart-example.local

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# existingConfigMaps -- List of existing ConfigMaps for Vector's configuration instead of creating a new one. Requires

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# dataDir to be set. Additionally, containerPorts, service.ports, and serviceHeadless.ports should be specified based on

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# your supplied configuration. If set, this parameter takes precedence over customConfig and the chart's default configs.

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existingConfigMaps: []

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# dataDir -- Specify the path for Vector's data, only used when existingConfigMaps are used.

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dataDir: ""

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# customConfig -- Override Vector's default configs, if used **all** options need to be specified. This section supports

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# using helm templates to populate dynamic values. See Vector's [configuration documentation](https://vector.dev/docs/reference/configuration/)

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# for all options.

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customConfig: {}

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# data_dir: /vector-data-dir

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# api:

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# enabled: true

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# address: 127.0.0.1:8686

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# sources:

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# vector:

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# address: 0.0.0.0:6000

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# type: vector

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# version: "2"

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# sinks:

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# stdout:

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# type: console

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# inputs: [vector]

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# encoding:

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# codec: json

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# defaultVolumes -- Default volumes that are mounted into pods. In most cases, these should not be changed.

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# Use `extraVolumes`/`extraVolumeMounts` for additional custom volumes.

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# @default -- See `values.yaml`

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defaultVolumes:

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- name: var-log

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hostPath:

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path: "/var/log/"

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- name: var-lib

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hostPath:

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path: "/var/lib/"

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- name: procfs

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hostPath:

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path: "/proc"

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- name: sysfs

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hostPath:

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path: "/sys"

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# defaultVolumeMounts -- Default volume mounts. Corresponds to `volumes`.

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# @default -- See `values.yaml`

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defaultVolumeMounts:

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- name: var-log

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mountPath: "/var/log/"

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readOnly: true

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- name: var-lib

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mountPath: "/var/lib"

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readOnly: true

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- name: procfs

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mountPath: "/host/proc"

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readOnly: true

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- name: sysfs

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mountPath: "/host/sys"

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readOnly: true

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# extraVolumes -- Additional Volumes to use with Vector Pods.

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extraVolumes: []

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# extraVolumeMounts -- Additional Volume to mount into Vector Containers.

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extraVolumeMounts: []

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# initContainers -- Init Containers to be added to the Vector Pods.

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# This also supports template content, which will eventually be converted to yaml.

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initContainers: []

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# initContainers:

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# - name: test

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# image: busybox:latest

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# command:

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# - cp

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# args:

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# - /bin/sleep

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# - /test/sleep

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# volumeMounts:

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# - name: test

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# mountPath: /test

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# extraContainers -- Extra Containers to be added to the Vector Pods.

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# This also supports template content, which will eventually be converted to yaml.

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extraContainers: []

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# extraContainers:

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# - name: test

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# command:

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# - cp

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# args:

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# - /bin/sleep

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# - /test/sleep

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# image: busybox:latest

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# volumeMounts:

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# - name: test

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# mountPath: /test

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# Configuration for Vector's data persistence.

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persistence:

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# persistence.enabled -- If true, create and use PersistentVolumeClaims.

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enabled: false

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# persistence.existingClaim -- Name of an existing PersistentVolumeClaim to use. Valid for the "Aggregator" role.

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existingClaim: ""

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# persistence.storageClassName -- Specifies the storageClassName for PersistentVolumeClaims. Valid for the

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# "Aggregator" role.

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# storageClassName: default

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# persistence.retentionPolicy -- Configure a [PersistentVolumeClaimRetentionPolicy](https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#persistentvolumeclaim-retention)

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# for Vector's PersistentVolumeClaims. Valid for the "Aggregator" role.

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retentionPolicy: {}

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# whenDeleted: Retain

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# whenScaled: Retain

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# persistence.accessModes -- Specifies the accessModes for PersistentVolumeClaims. Valid for the "Aggregator" role.

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accessModes:

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- ReadWriteOnce

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# persistence.size -- Specifies the size of PersistentVolumeClaims. Valid for the "Aggregator" role.

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size: 10Gi

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# persistence.finalizers -- Specifies the finalizers of PersistentVolumeClaims. Valid for the "Aggregator" role.

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finalizers:

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- kubernetes.io/pvc-protection

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# persistence.selectors -- Specifies the selectors for PersistentVolumeClaims. Valid for the "Aggregator" role.

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selectors: {}

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hostPath:

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# persistence.hostPath.enabled -- If true, use hostPath persistence. Valid for the "Agent" role, if it's disabled

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# the "Agent" role will use emptyDir.

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enabled: true

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# persistence.hostPath.path -- Override path used for hostPath persistence. Valid for the "Agent" role, persistence

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# is always used for the "Agent" role.

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path: "/var/lib/vector"

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# dnsPolicy -- Specify the [dnsPolicy](https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#pod-s-dns-policy)

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# for Vector Pods.

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dnsPolicy: ClusterFirst

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# dnsConfig -- Specify the [dnsConfig](https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#pod-dns-config)

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# options for Vector Pods.

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dnsConfig: {}

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# nameservers:

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# - 1.2.3.4

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# searches:

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# - ns1.svc.cluster-domain.example

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# - my.dns.search.suffix

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# options:

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# - name: ndots

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# value: "2"

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# - name: edns0

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# shareProcessNamespace -- Specify the [shareProcessNamespace](https://kubernetes.io/docs/tasks/configure-pod-container/share-process-namespace/)

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# options for Vector Pods.

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shareProcessNamespace: false

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# livenessProbe -- Override default liveness probe settings. If customConfig is used, requires customConfig.api.enabled

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# to be set to true. `grpc` is recommended once the cluster is on Vector 0.55+; the `httpGet /health` probe is kept

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# for backwards compatibility with older Vector versions.

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livenessProbe: {}

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# Option 1: gRPC probe (uses grpc.health.v1.Health/Check, requires Vector 0.55+)

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# grpc:

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# port: 8686

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# Option 2: HTTP probe

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# httpGet:

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# path: /health

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# port: 8686

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# readinessProbe -- Override default readiness probe settings. If not set, this chart applies an

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# `httpGet /health` readinessProbe on port `8686` for chart-managed default configs. If customConfig is used,

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# requires customConfig.api.enabled to be set to true. `grpc` is recommended once the cluster is on Vector 0.55+;

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# the `httpGet /health` probe is kept for backwards compatibility with older Vector versions.

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readinessProbe: {}

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# Option 1: gRPC probe (uses grpc.health.v1.Health/Check, requires Vector 0.55+)

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# grpc:

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# port: 8686

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# Option 2: HTTP probe

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# httpGet:

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# path: /health

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# port: 8686

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# startupProbe -- Override default startup probe settings. If customConfig is used,

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# requires customConfig.api.enabled to be set to true. `grpc` is recommended once the cluster is on Vector 0.55+;

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# the `httpGet /health` probe is kept for backwards compatibility with older Vector versions.

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startupProbe: {}

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# Option 1: gRPC probe (uses grpc.health.v1.Health/Check, requires Vector 0.55+)

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# grpc:

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# port: 8686

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# Option 2: HTTP probe

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# httpGet:

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# path: /health

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# port: 8686

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# Configure a PodMonitor for Vector, requires the PodMonitor CRD to be installed.

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podMonitor:

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# podMonitor.enabled -- If true, create a PodMonitor for Vector.

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enabled: false

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# podMonitor.jobLabel -- Override the label to retrieve the job name from.

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jobLabel: app.kubernetes.io/name

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# podMonitor.port -- Override the port to scrape.

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port: prom-exporter

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# podMonitor.path -- Override the path to scrape.

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path: /metrics

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# podMonitor.interval -- Override the interval at which metrics should be scraped.

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interval:

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# podMonitor.scrapeTimeout -- Override the timeout after which the scrape is ended.

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scrapeTimeout:

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# podMonitor.relabelings -- [RelabelConfigs](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#relabel_config)

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# to apply to samples before scraping.

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relabelings: []

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# podMonitor.metricRelabelings -- [MetricRelabelConfigs](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#metric_relabel_configs)

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# to apply to samples before ingestion.

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metricRelabelings: []

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# podMonitor.podTargetLabels -- [podTargetLabels](https://prometheus-operator.dev/docs/operator/api/#monitoring.coreos.com/v1.PodMonitorSpec)

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# transfers labels on the Kubernetes Pod onto the target.

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podTargetLabels: []

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# podMonitor.additionalLabels -- Adds additional labels to the PodMonitor.

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additionalLabels: {}

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# podMonitor.honorLabels -- If true, honor_labels is set to true in the [scrape config](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#scrape_config).

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honorLabels: false

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# podMonitor.honorTimestamps -- If true, honor_timestamps is set to true in the [scrape config](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#scrape_config).

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honorTimestamps: true

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# Log level for Vector.

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logLevel: "info"

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# Optional built-in HAProxy load balancer.

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haproxy:

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# haproxy.enabled -- If true, create a HAProxy load balancer.

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enabled: false

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# Define the HAProxy image to use.

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image:

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# haproxy.image.repository -- Override default registry and name for HAProxy.

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repository: cgr.dev/chainguard-private/haproxy

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# haproxy.image.pullPolicy -- HAProxy image pullPolicy.

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pullPolicy: IfNotPresent

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# haproxy.image.pullSecrets -- The [imagePullSecrets](https://kubernetes.io/docs/concepts/containers/images/#specifying-imagepullsecrets-on-a-pod)

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# to reference for the HAProxy Pods.

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pullSecrets: []

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# haproxy.image.tag -- The tag to use for HAProxy's image.

523

tag: latest@sha256:ddeb5e875c03b09a7e4821e53c1398d6bc98fa139689434c175fecb7be9969d4

524

# haproxy.rollWorkload -- Add a checksum of the generated ConfigMap to the HAProxy Deployment.

525

rollWorkload: true

526

# haproxy.replicas -- Set the number of HAProxy Pods to create.

527

replicas: 1

528

serviceAccount:

529

# haproxy.serviceAccount.create -- If true, create a HAProxy ServiceAccount.

530

create: true

531

# haproxy.serviceAccount.annotations -- Annotations to add to the HAProxy ServiceAccount.

532

annotations: {}

533

# haproxy.serviceAccount.name -- The name of the HAProxy ServiceAccount to use. If not set and create is true, a

534

# name is generated using the fullname template.

535

name:

536

# haproxy.serviceAccount.automountToken -- Automount API credentials for the HAProxy ServiceAccount.

537

automountToken: true

538

# haproxy.strategy -- Customize the [strategy](https://kubernetes.io/docs/reference/kubernetes-api/workload-resources/deployment-v1/)

539

# used to replace HAProxy Pods.

540

strategy: {}

541

# rollingUpdate:

542

# maxSurge: 25%

543

# maxUnavailable: 25%

544

# type: RollingUpdate

545

546

# haproxy.terminationGracePeriodSeconds -- Override HAProxy's terminationGracePeriodSeconds.

547

terminationGracePeriodSeconds: 60

548

# haproxy.podAnnotations -- Set annotations on HAProxy Pods.

549

podAnnotations: {}

550

# haproxy.podLabels -- Set labels on HAProxy Pods.

551

podLabels: {}

552

# haproxy.podPriorityClassName -- Set the priorityClassName on HAProxy Pods.

553

podPriorityClassName: ""

554

# haproxy.podSecurityContext -- Allows you to overwrite the default PodSecurityContext for HAProxy.

555

podSecurityContext: {}

556

# fsGroup: 2000

557

558

# haproxy.securityContext -- Specify securityContext on HAProxy containers.

559

securityContext: {}

560

# capabilities:

561

# drop:

562

# - ALL

563

# readOnlyRootFilesystem: true

564

# runAsNonRoot: true

565

# runAsUser: 1000

566

567

# haproxy.containerPorts -- Manually define HAProxy's containerPorts, overrides automated generation of containerPorts.

568

containerPorts: []

569

# HAProxy's Service configuration.

570

service:

571

# haproxy.service.type -- Set type of HAProxy's Service.

572

type: ClusterIP

573

# haproxy.service.annotations -- Set annotations on HAProxy's Service.

574

annotations: {}

575

# haproxy.service.topologyKeys -- Specify the [topologyKeys](https://kubernetes.io/docs/concepts/services-networking/service-topology/#using-service-topology)

576

# field on HAProxy's Service spec.

577

topologyKeys: []

578

# - "kubernetes.io/hostname"

579

# - "topology.kubernetes.io/zone"

580

# - "topology.kubernetes.io/region"

581

# - "*"

582

# haproxy.service.ports -- Manually set HAPRoxy's Service ports, overrides automated generation of Service ports.

583

ports: []

584

# haproxy.service.externalTrafficPolicy -- Specify the [externalTrafficPolicy](https://kubernetes.io/docs/tasks/access-application-cluster/create-external-load-balancer/#preserving-the-client-source-ip).

585

externalTrafficPolicy: ""

586

# haproxy.service.loadBalancerIP -- Specify the [loadBalancerIP](https://kubernetes.io/docs/concepts/services-networking/service/#loadbalancer).

587

loadBalancerIP: ""

588

# haproxy.service.ipFamilyPolicy -- Configure [IPv4/IPv6 dual-stack](https://kubernetes.io/docs/concepts/services-networking/dual-stack/).

589

ipFamilyPolicy: ""

590

# haproxy.service.ipFamilies -- Configure [IPv4/IPv6 dual-stack](https://kubernetes.io/docs/concepts/services-networking/dual-stack/).

591

ipFamilies: []

592

# haproxy.existingConfigMap -- Use this existing ConfigMap for HAProxy's configuration instead of creating a new one.

593

# Additionally, haproxy.containerPorts and haproxy.service.ports should be specified based on your supplied

594

# configuration. If set, this parameter takes precedence over customConfig and the chart's default configs.

595

existingConfigMap: ""

596

# haproxy.customConfig -- Override HAProxy's default configs, if used **all** options need to be specified.

597

# This parameter supports using Helm templates to insert values dynamically. By default, this chart will parse

598

# Vector's configuration from customConfig to generate HAProxy's config, which can be overwritten with

599

# haproxy.customConfig.

600

customConfig: ""

601

# haproxy.extraVolumes -- Additional Volumes to use with HAProxy Pods.

602

extraVolumes: []

603

# haproxy.extraVolumeMounts -- Additional Volume to mount into HAProxy Containers.

604

extraVolumeMounts: []

605

# haproxy.initContainers -- Init Containers to be added to the HAProxy Pods.

606

# This also supports template content, which will eventually be converted to yaml.

607

initContainers: []

608

# haproxy.extraContainers -- Extra Containers to be added to the HAProxy Pods.

609

# This also supports template content, which will eventually be converted to yaml.

610

extraContainers: []

611

autoscaling:

612

# haproxy.autoscaling.enabled -- Create a HorizontalPodAutoscaler for HAProxy.

613

enabled: false

614

# haproxy.autoscaling.external -- HAProxy is controlled by an external HorizontalPodAutoscaler.

615

external: false

616

# haproxy.autoscaling.minReplicas -- Minimum replicas for HAProxy's HPA.

617

minReplicas: 1

618

# haproxy.autoscaling.maxReplicas -- Maximum replicas for HAProxy's HPA.

619

maxReplicas: 10

620

# haproxy.autoscaling.targetCPUUtilizationPercentage -- Target CPU utilization for HAProxy's HPA.

621

targetCPUUtilizationPercentage: 80

622

# haproxy.autoscaling.targetMemoryUtilizationPercentage -- (int) Target memory utilization for HAProxy's HPA.

623

targetMemoryUtilizationPercentage:

624

# haproxy.autoscaling.customMetric -- Target a custom metric for autoscaling.

625

customMetric: {}

626

# - type: Pods

627

# pods:

628

# metric:

629

# name: utilization

630

# target:

631

# type: AverageValue

632

# averageValue: 95

633

# haproxy.resources -- Set HAProxy resource requests and limits.

634

resources: {}

635

# limits:

636

# cpu: 100m

637

# memory: 128Mi

638

# requests:

639

# cpu: 100m

640

# memory: 128Mi

641

642

# haproxy.livenessProbe -- Override default HAProxy liveness probe settings.

643

livenessProbe:

644

tcpSocket:

645

port: 1024

646

# haproxy.readinessProbe -- Override default HAProxy readiness probe settings.

647

readinessProbe:

648

tcpSocket:

649

port: 1024

650

# haproxy.nodeSelector -- Configure a [nodeSelector](https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#nodeselector)

651

# for HAProxy Pods

652

nodeSelector: {}

653

# haproxy.tolerations -- Configure HAProxy Pods to be scheduled on [tainted](https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/)

654

# nodes.

655

tolerations: []

656

# haproxy.affinity -- Configure [affinity](https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#affinity-and-anti-affinity)

657

# rules for HAProxy Pods.

658

affinity: {}

659

# extraObjects -- Create extra manifests via values. Would be passed through `tpl` for templating.

660

extraObjects: []

661

# - apiVersion: v1

662

# kind: ConfigMap

663

# metadata:

664

# name: vector-dashboards

665

# labels:

666

# grafana_dashboard: "1"

667

# data:

668

# vector.json: |

669

# {{ .Files.Get "dashboards/vector.json" | fromJson | toJson }}

670

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