# 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" # rollWorkload -- Add a checksum of the generated ConfigMap to workload annotations. rollWorkload: true # commonLabels -- Add additional labels to all created resources. commonLabels: {} # Define the Vector image to use. image: # image.repository -- Override default registry and name for Vector's image. repository: timberio/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: "" # image.sha -- The SHA to use for Vector's image. sha: "" # 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: # 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 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. 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 # 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. 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.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: [] # 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 # playground: false # 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. initContainers: [] # extraContainers -- Extra Containers to be added to the Vector Pods. extraContainers: [] # 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.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. livenessProbe: {} # httpGet: # path: /health # port: api # readinessProbe -- Override default readiness probe settings. If customConfig is used, # requires customConfig.api.enabled to be set to true. readinessProbe: {} # httpGet: # path: /health # port: api # 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: haproxytech/haproxy-alpine # 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: "2.6.12" # 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.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. initContainers: [] # haproxy.extraContainers -- Extra Containers to be added to the HAProxy Pods. 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 }}