vector

# 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: 0.60.0-r0

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

sha: sha256:4d061363db74bfe160718673696f1079a24e23cfcd13b871a8cc6562aa7000bb

# 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.annotations -- Set annotations on Vector Secrets.

annotations: {}

# 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:

# type: AverageValue

# averageValue: 95

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

behavior: {}

# scaleDown:

# stabilizationWindowSeconds: 300

podDisruptionBudget:

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

# for Vector.

enabled: false

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

minAvailable: 1

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

maxUnavailable:

rbac:

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

create: true

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

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

# Each item must follow the Kubernetes ClusterRole rule syntax.

#

# Example:

# extraRules:

# - apiGroups: [""]

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

# verbs: ["get"]

extraRules: []

psp:

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

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

# with the "Agent" role.

create: false

serviceAccount:

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

create: true

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

annotations: {}

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

# is generated using the fullname template.

name:

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

automountToken: true

# podAnnotations -- Set annotations on Vector Pods. Values are rendered with `tpl`, so

# templated strings (e.g. a checksum of an externally managed ConfigMap) are supported.

podAnnotations: {}

# podLabels -- Set labels on Vector Pods.

podLabels:

vector.dev/exclude: "true"

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

# on Vector Pods.

podPriorityClassName: ""

# podHostNetwork -- Configure hostNetwork on Vector Pods.

podHostNetwork: false

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

# for Vector Pods.

podSecurityContext: {}

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

workloadResourceAnnotations: {}

# securityContext -- Specify securityContext on Vector containers.

securityContext: {}

# command -- Override Vector's default command.

command: []

# args -- Override Vector's default arguments.

args:

- --config-dir

- "/etc/vector/"

# env -- Set environment variables for Vector containers.

env: []

# - name: MY_VARIABLE

# valueFrom:

# secretKeyRef:

# name: vector

# key: my_variable

# - name: AWS_ACCESS_KEY_ID

# valueFrom:

# secretKeyRef:

# name: vector

# key: awsAccessKeyId

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

envFrom: []

# - secretRef:

# name: vector

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

containerPorts: []

# resources -- Set Vector resource requests and limits.

resources: {}

# requests:

# cpu: 200m

# memory: 256Mi

# limits:

# cpu: 200m

# memory: 256Mi

# lifecycle -- Set lifecycle hooks for Vector containers.

lifecycle: {}

# preStop:

# exec:

# command:

# - /bin/sleep

# - "10"

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

# pass healthchecks before it is considered available.

minReadySeconds: 0

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

# defaults to 10 if not set

# revisionHistoryLimit: 10

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

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

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

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

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

updateStrategy: {}

# type: RollingUpdate

# rollingUpdate:

# maxUnavailable: 1

# terminationGracePeriodSeconds -- Override Vector's terminationGracePeriodSeconds.

terminationGracePeriodSeconds: 60

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

# for Vector Pods.

nodeSelector: {}

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

# nodes.

tolerations: []

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

# rules for Vector Pods.

affinity: {}

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

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

#

# If no "labelSelector" is defined, Vector's selector labels will be used by default.

topologySpreadConstraints: []

# Configuration for Vector's Service.

service:

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

enabled: true

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

type: "ClusterIP"

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

annotations: {}

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

# field on Vector's Service.

topologyKeys: []

# - "kubernetes.io/hostname"

# - "topology.kubernetes.io/zone"

# - "topology.kubernetes.io/region"

# - "*"

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

ports: []

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

externalTrafficPolicy: ""

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

internalTrafficPolicy: ""

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

loadBalancerIP: ""

# service.loadBalancerSourceRanges -- Specify the [loadBalancerSourceRanges](https://kubernetes.io/docs/reference/kubernetes-api/core/service-v1/#ServiceSpec) to restrict client IP ranges that can access the LoadBalancer Service.

loadBalancerSourceRanges: []

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

ipFamilyPolicy: ""

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

ipFamilies: []

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

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

trafficDistribution: ""

# Configuration for Vector's Headless Service.

serviceHeadless:

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

enabled: true

# Configuration for Vector's Ingress.

ingress:

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

enabled: false

# 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),

# requires Kubernetes >= 1.18

className: ""

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

annotations: {}

# kubernetes.io/ingress.class: nginx

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

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

hosts: []

# - host: chart-example.local

# paths:

# - path: /

# pathType: ImplementationSpecific

# # Specify the port name or number on the Service

# # Using name requires Kubernetes >=1.19

# port:

# name: ""

# number: ""

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

tls: []

# - secretName: chart-example-tls

# hosts:

# - chart-example.local

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

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

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

existingConfigMaps: []

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

dataDir: ""

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

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

# for all options.

customConfig: {}

# data_dir: /vector-data-dir

# api:

# enabled: true

# address: 127.0.0.1:8686

# sources:

# vector:

# address: 0.0.0.0:6000

# type: vector

# version: "2"

# sinks:

# stdout:

# type: console

# inputs: [vector]

# encoding:

# codec: json

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

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

# @default -- See `values.yaml`

defaultVolumes:

- name: var-log

hostPath:

path: "/var/log/"

- name: var-lib

hostPath:

path: "/var/lib/"

- name: procfs

hostPath:

path: "/proc"

- name: sysfs

hostPath:

path: "/sys"

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

# @default -- See `values.yaml`

defaultVolumeMounts:

- name: var-log

mountPath: "/var/log/"

readOnly: true

- name: var-lib

mountPath: "/var/lib"

readOnly: true

- name: procfs

mountPath: "/host/proc"

readOnly: true

- name: sysfs

mountPath: "/host/sys"

readOnly: true

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

extraVolumes: []

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

extraVolumeMounts: []

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

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

initContainers: []

# initContainers:

# - name: test

# image: busybox:latest

# command:

# - cp

# args:

# - /bin/sleep

# - /test/sleep

# volumeMounts:

# - name: test

# mountPath: /test

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

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

extraContainers: []

# extraContainers:

# - name: test

# command:

# - cp

# args:

# - /bin/sleep

# - /test/sleep

# image: busybox:latest

# volumeMounts:

# - name: test

# mountPath: /test

# Configuration for Vector's data persistence.

persistence:

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

enabled: false

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

existingClaim: ""

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

# "Aggregator" role.

# storageClassName: default

# persistence.volumeAttributesClassName -- (string) Specifies the volumeAttributesClassName for PersistentVolumeClaims.

# Valid for the "Aggregator" role.

volumeAttributesClassName:

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

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

retentionPolicy: {}

# whenDeleted: Retain

# whenScaled: Retain

# persistence.annotations -- Set annotations on the PersistentVolumeClaims created by the StatefulSet.

annotations: {}

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

accessModes:

- ReadWriteOnce

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

size: 10Gi

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

finalizers:

- kubernetes.io/pvc-protection

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

selectors: {}

hostPath:

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

# the "Agent" role will use emptyDir.

enabled: true

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

# is always used for the "Agent" role.

path: "/var/lib/vector"

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

# for Vector Pods.

dnsPolicy: ClusterFirst

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

# options for Vector Pods.

dnsConfig: {}

# nameservers:

# - 1.2.3.4

# searches:

# - ns1.svc.cluster-domain.example

# - my.dns.search.suffix

# options:

# - name: ndots

# value: "2"

# - name: edns0

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

# options for Vector Pods.

shareProcessNamespace: false

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

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

# for backwards compatibility with older Vector versions.

livenessProbe: {}

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

# grpc:

# port: 8686

#

# Option 2: HTTP probe

# httpGet:

# path: /health

# port: 8686

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

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

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

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

readinessProbe: {}

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

# grpc:

# port: 8686

#

# Option 2: HTTP probe

# httpGet:

# path: /health

# port: 8686

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

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

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

startupProbe: {}

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

# grpc:

# port: 8686

#

# Option 2: HTTP probe

# httpGet:

# path: /health

# port: 8686

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

podMonitor:

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

enabled: false

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

jobLabel: app.kubernetes.io/name

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

port: prom-exporter

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

path: /metrics

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

interval:

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

scrapeTimeout:

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

# to apply to samples before scraping.

relabelings: []

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

# to apply to samples before ingestion.

metricRelabelings: []

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

# transfers labels on the Kubernetes Pod onto the target.

podTargetLabels: []

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

additionalLabels: {}

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

honorLabels: false

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

honorTimestamps: true

# Log level for Vector.

logLevel: "info"

# Optional built-in HAProxy load balancer.

haproxy:

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

enabled: false

# Define the HAProxy image to use.

image:

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

repository: cgr.dev/chainguard-private/haproxy

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

pullPolicy: IfNotPresent

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

# to reference for the HAProxy Pods.

pullSecrets: []

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

tag: 3.4.7-r0@sha256:8dca5f45f48fd35f1d75c847fdee3ee897ca49bcfc79f8870b96e3b99fee0058

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

rollWorkload: true

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

replicas: 1

serviceAccount:

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

create: true

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

annotations: {}

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

# name is generated using the fullname template.

name:

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

automountToken: true

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

# used to replace HAProxy Pods.

strategy: {}

# rollingUpdate:

# maxSurge: 25%

# maxUnavailable: 25%

# type: RollingUpdate

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

terminationGracePeriodSeconds: 60

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

podAnnotations: {}

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

podLabels: {}

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

podPriorityClassName: ""

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

podSecurityContext: {}

# fsGroup: 2000

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

securityContext: {}

# capabilities:

# drop:

# - ALL

# readOnlyRootFilesystem: true

# runAsNonRoot: true

# runAsUser: 1000

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

containerPorts: []

# HAProxy's Service configuration.

service:

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

type: ClusterIP

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

annotations: {}

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

# field on HAProxy's Service spec.

topologyKeys: []

# - "kubernetes.io/hostname"

# - "topology.kubernetes.io/zone"

# - "topology.kubernetes.io/region"

# - "*"

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

ports: []

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

externalTrafficPolicy: ""

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

loadBalancerIP: ""

# haproxy.service.loadBalancerSourceRanges -- Specify the [loadBalancerSourceRanges](https://kubernetes.io/docs/reference/kubernetes-api/core/service-v1/#ServiceSpec) to restrict client IP ranges that can access the LoadBalancer Service.

loadBalancerSourceRanges: []

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

ipFamilyPolicy: ""

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

ipFamilies: []

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

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

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

existingConfigMap: ""

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

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

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

# haproxy.customConfig.

customConfig: ""

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

extraVolumes: []

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

extraVolumeMounts: []

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

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

initContainers: []

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

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

extraContainers: []

autoscaling:

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

enabled: false

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

external: false

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

minReplicas: 1

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

maxReplicas: 10

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

targetCPUUtilizationPercentage: 80

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

targetMemoryUtilizationPercentage:

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

customMetric: []

# - type: Pods

# pods:

# metric:

# name: utilization

# target:

# type: AverageValue

# averageValue: 95

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

resources: {}

# limits:

# cpu: 100m

# memory: 128Mi

# requests:

# cpu: 100m

# memory: 128Mi

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

livenessProbe:

tcpSocket:

port: 1024

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

readinessProbe:

tcpSocket:

port: 1024

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

# for HAProxy Pods

nodeSelector: {}

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

# nodes.

tolerations: []

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

# rules for HAProxy Pods.

affinity: {}

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

extraObjects: []

# - apiVersion: v1

# kind: ConfigMap

# metadata:

# name: vector-dashboards

# labels:

# grafana_dashboard: "1"

# data:

# vector.json: |

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