Files
charts/bitnami/wavefront/values.yaml
Bitnami Containers 726b2ea561 [bitnami/wavefront] Release 1.1.2 updating components versions
Signed-off-by: Bitnami Containers <containers@bitnami.com>
2021-01-25 04:55:02 +00:00

685 lines
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YAML

## Global Docker image parameters
## Please, note that this will override the image parameters, including dependencies, configured to use the global value
## Current available global Docker image parameters: imageRegistry and imagePullSecrets
##
# global:
# imageRegistry: myRegistryName
# imagePullSecrets:
# - myRegistryKeySecretName
# storageClass: myStorageClass
## This is a unique name for the cluster (required)
## All metrics will receive a `cluster` tag with this value
##
clusterName: KUBERNETES_CLUSTER_NAME
## Wavefront URL (cluster) and API Token (required)
##
wavefront:
url: https://YOUR_CLUSTER.wavefront.com
token: YOUR_API_TOKEN
## Name of an existing secret containing the token
##
existingSecret:
## Add labels to all the deployed resources
##
commonLabels: {}
## Add annotations to all the deployed resources
##
commonAnnotations: {}
## Extra objects to deploy (value evaluated as a template)
##
extraDeploy: []
## Wavefront Collector is responsible to get all Kubernetes metrics from your cluster.
## It will capture Kubernetes resources metrics available from the kubelets,
## as well as auto-discovery capabilities.
##
collector:
enabled: true
image:
registry: docker.io
repository: bitnami/wavefront-kubernetes-collector
tag: 1.2.6-debian-10-r53
## Specify a imagePullPolicy
## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images
##
pullPolicy: IfNotPresent
## Optionally specify an array of imagePullSecrets.
## Secrets must be manually created in the namespace.
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
##
# pullSecrets:
# - myRegistryKeySecretName
## If set to true, DaemonSet will be used for the collector.
## If set to false, Deployment will be used for the collector.
## Setting this to true is strongly recommended
##
useDaemonset: true
## max number of CPUs that can be used simultaneously. Less than 1 for default (number of cores)
##
# maxProcs: 0
## log level one of: info, debug, or trace. (default info)
##
# logLevel: info
## The resolution at which the collector will retain metrics. (default 60s)
##
# interval: 60s
## How often collected data is flushed (default 10s)
##
# flushInterval: 10s
## Timeout for exporting data (default 20s)
##
# sinkDelay: 20s
## If set to true, will use the unauthenticated real only port for the kubelet
## If set to false, will use the encrypted full access port for the kubelet (default false)
##
# useReadOnlyPort: false
## If set to true, metrics will be sent to Wavefront via a Wavefront Proxy.
## When true you must either specify a value for `collector.proxyAddress` or set `proxy.enabled` to true
## If set to false, metrics will be sent to Wavefront via the Direct Ingestion API
##
useProxy: true
## Can be used to specify a specific address for the Wavefront Proxy
## The proxy can be anywhere network reachable including outside of the cluster
## Required if `collector.useProxy` is true and `proxy.enabled` is false
##
# proxyAddress: wavefront-proxy:2878
## If set to true, metrics about Kubernetes State will be generated by the collector
## These metrics are more efficient than kube-state-metrics
##
kubernetesState: true
## If set to true Kubernetes API Server will also be scraped for metrics (default false)
##
# apiServerMetrics: false
## Map of tags to apply to all metrics collected by the collector (default empty)
## sample tags to include (env, region)
##
# tags:
# env: production
# region: us-west-2
## Events can also be collected and sent to Wavefront.
## Requires Wavefront Proxy 6.0 or greater.
## Events should be filtered before being enabled, see event filtering documentation for details
## Ref: https://github.com/wavefrontHQ/wavefront-collector-for-kubernetes/blob/master/docs/filtering.md
##
events:
enabled: false
# filters:
# tagWhilelistSets:
# - kind:
# - "Deployment"
# - reason:
# - "ScalingReplicaSet"
# - "ReplicaSetCreateError"
# - kind:
# - "HorizontalPodAutoscaler"
# reason:
# - "Failed*"
## Rules based discovery configuration
## Ref: https://github.com/wavefrontHQ/wavefront-kubernetes-collector/blob/master/docs/discovery.md
##
discovery:
enabled: true
## When specified, this replaces `prometheus.io` as the prefix for annotations used to
## auto-discover Prometheus endpoints
##
# annotationPrefix: "wavefront.com"
## Whether to enable runtime discovery configurations
## Ref: https://github.com/wavefrontHQ/wavefront-collector-for-kubernetes/blob/master/docs/discovery.md#runtime-configurations
##
# enableRuntimeConfigs: false
## Can be used to add additional discovery rules
##
# config:
# # auto-discover a sample prometheus application
# - name: prom-example
# type: prometheus
# selectors:
# labels:
# k8s-app:
# - prom-example
# port: 8080
# path: /metrics
# prefix: kube.prom-example.
# tags:
# alt_name: sample-app
# # auto-discover mongodb pods (replace USER:PASSWORD)
# - name: mongodb
# type: telegraf/mongodb
# selectors:
# images:
# - '*mongodb:*'
# port: 27017
# conf: |
# servers = ["mongodb://USER:PASSWORD${host}:${port}"]
# gather_perdb_stats = true
# filters:
# metricBlacklist:
# - 'mongodb.member.status'
# - 'mongodb.state'
# - 'mongodb.db.stats.type'
# # auto-discover rabbitmq pods (replace USER and PASSWORD)
# - name: rabbitmq
# type: telegraf/rabbitmq
# selectors:
# images:
# - '*rabbitmq:*'
# port: 15672
# conf: |
# url = "http://${host}:${port}"
# username = "USER"
# password = "PASSWORD"
## ConfigMap with Collector Configuration
##
# existingConfigmap:
## Command and args for running the container (set to default if not set). Use array form
##
command: []
args: []
## Wavefront Collector resource requests and limits
## ref: http://kubernetes.io/docs/user-guide/compute-resources/
##
resources:
# We usually recommend not to specify default resources and to leave this as a conscious
# choice for the user. This also increases chances charts run on environments with little
# resources, such as Minikube. If you do want to specify resources, uncomment the following
# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
limits: {}
# cpu: 200m
# memory: 256Mi
requests: {}
# cpu: 200m
# memory: 10Mi
## SecurityContext configuration
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/
##
containerSecurityContext:
enabled: true
runAsUser: 1001
runAsNonRoot: true
podSecurityContext:
enabled: true
fsGroup: 1001
## Wavefront Collector Pod affinity preset
## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
## Allowed values: soft, hard
##
podAffinityPreset: ""
## Wavefront Collector Pod anti-affinity preset
## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
## Allowed values: soft, hard
##
podAntiAffinityPreset: soft
## Wavefront Collector Node affinity preset
## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
## Allowed values: soft, hard
##
nodeAffinityPreset:
## Node affinity type
## Allowed values: soft, hard
##
type: ""
## Node label key to match
## E.g.
## key: "kubernetes.io/e2e-az-name"
##
key: ""
## Node label values to match
## E.g.
## values:
## - e2e-az1
## - e2e-az2
##
values: []
## Wavefront Collector Affinity for pod assignment
## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
## Note: collector.podAffinityPreset, collector.podAntiAffinityPreset, and collector.nodeAffinityPreset will be ignored when it's set
##
affinity: {}
## Wavefront Collector Node labels for pod assignment
## ref: https://kubernetes.io/docs/user-guide/node-selection/
##
nodeSelector: {}
## Wavefront Collector Tolerations for pod assignment
## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
##
tolerations: []
## Pod extra labels
## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
##
podLabels: {}
## Annotations for server pods.
## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
##
podAnnotations: {}
## Wavefront Collector pods' priority.
## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/
##
# priorityClassName: ""
## lifecycleHooks for the Wavefront Collector container to automate configuration before or after startup.
##
lifecycleHooks: {}
## Custom Liveness probes for Wavefront Collector
##
customLivenessProbe: {}
## Custom Rediness probes Wavefront Collector
##
customReadinessProbe: {}
## Update strategy - only really applicable for deployments with RWO PVs attached
## If replicas = 1, an update can get "stuck", as the previous pod remains attached to the
## PV, and the "incoming" pod can never start. Changing the strategy to "Recreate" will
## terminate the single previous pod, so that the new, incoming pod can attach to the PV
##
updateStrategy:
type: RollingUpdate
## An array to add extra env vars
## For example:
##
extraEnvVars: []
# - name: BEARER_AUTH
# value: true
## ConfigMap with extra environment variables
##
extraEnvVarsCM:
## Secret with extra environment variables
##
extraEnvVarsSecret:
## Extra volumes to add to the deployment
##
extraVolumes: []
## Extra volume mounts to add to the container
##
extraVolumeMounts: []
## Add init containers to the Wavefront proxy pods.
## Example:
## initContainers:
## - name: your-image-name
## image: your-image
## imagePullPolicy: Always
## ports:
## - name: portname
## containerPort: 1234
##
initContainers: {}
## Add sidecars to the Wavefront proxy pods.
## Example:
## sidecars:
## - name: your-image-name
## image: your-image
## imagePullPolicy: Always
## ports:
## - name: portname
## containerPort: 1234
##
sidecars: {}
## Wavefront Proxy is a metrics forwarder that is used to relay metrics to the Wavefront SaaS service.
## It can receive metrics from the Wavefront Collector as well as other metrics collection services
## within your cluster. The proxy also supports preprocessor rules to allow you to further filter
## and enhance your metric names, and tags. Should network connectivity fall between the proxy and
## Wavefront SaaS service, the proxy will buffer metrics, which will be flushed when connectivity resumes.
## Ref: https://docs.wavefront.com/proxies.html
##
proxy:
enabled: true
image:
registry: docker.io
repository: bitnami/wavefront-proxy
tag: 9.5.0-debian-10-r4
## Specify a imagePullPolicy
## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images
##
pullPolicy: IfNotPresent
## Optionally specify an array of imagePullSecrets.
## Secrets must be manually created in the namespace.
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
##
# pullSecrets:
# - myRegistryKeySecretName
## Wavefront Proxy resource requests and limits
## ref: http://kubernetes.io/docs/user-guide/compute-resources/
##
resources:
# We usually recommend not to specify default resources and to leave this as a conscious
# choice for the user. This also increases chances charts run on environments with little
# resources, such as Minikube. If you do want to specify resources, uncomment the following
# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
limits: {}
# cpu: 100m
# memory: 4Gi
requests: {}
# cpu: 100m
# memory: 1Gi
## SecurityContext configuration
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/
##
containerSecurityContext:
enabled: true
runAsUser: 1001
runAsNonRoot: true
podSecurityContext:
enabled: true
fsGroup: 1001
## Wavefront Proxy Pod affinity preset
## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
## Allowed values: soft, hard
##
podAffinityPreset: ""
## Wavefront Proxy Pod anti-affinity preset
## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
## Allowed values: soft, hard
##
podAntiAffinityPreset: soft
## Wavefront Proxy Node affinity preset
## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
## Allowed values: soft, hard
##
nodeAffinityPreset:
## Node affinity type
## Allowed values: soft, hard
##
type: ""
## Node label key to match
## E.g.
## key: "kubernetes.io/e2e-az-name"
##
key: ""
## Node label values to match
## E.g.
## values:
## - e2e-az1
## - e2e-az2
##
values: []
## Wavefront Proxy Affinity for pod assignment
## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
## Note: proxy.podAffinityPreset, proxy.podAntiAffinityPreset, and proxy.nodeAffinityPreset will be ignored when it's set
##
affinity: {}
## Wavefront Proxy Node labels for pod assignment
## ref: https://kubernetes.io/docs/user-guide/node-selection/
##
nodeSelector: {}
## Wavefront Proxy Tolerations for pod assignment
## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
##
tolerations: []
## Pod extra labels
## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
##
podLabels: {}
## Annotations for server pods.
## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
##
podAnnotations: {}
## Wavefront proxy pods' priority.
## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/
##
# priorityClassName: ""
## lifecycleHooks for the Wavefront proxy container to automate configuration before or after startup.
##
lifecycleHooks: {}
## Wavefront Proxy liveness and readiness probes. Evaluated as a template.
## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes
##
livenessProbe:
enabled: true
initialDelaySeconds: 10
timeoutSeconds: 1
periodSeconds: 20
failureThreshold: 6
successThreshold: 1
readinessProbe:
enabled: true
initialDelaySeconds: 10
timeoutSeconds: 1
periodSeconds: 20
failureThreshold: 6
successThreshold: 1
## Custom Liveness probes for Wavefront Proxy
##
customLivenessProbe: {}
## Custom Rediness probes Wavefront Proxy
##
customReadinessProbe: {}
## Update strategy - only really applicable for deployments with RWO PVs attached
## If replicas = 1, an update can get "stuck", as the previous pod remains attached to the
## PV, and the "incoming" pod can never start. Changing the strategy to "Recreate" will
## terminate the single previous pod, so that the new, incoming pod can attach to the PV
##
updateStrategy:
type: RollingUpdate
## An array to add extra env vars
## For example:
##
extraEnvVars: []
# - name: BEARER_AUTH
# value: true
## ConfigMap with extra environment variables
##
extraEnvVarsCM:
## Secret with extra environment variables
##
extraEnvVarsSecret:
## Extra volumes to add to the deployment
##
extraVolumes: []
## Extra volume mounts to add to the container
##
extraVolumeMounts: []
## Add init containers to the Wavefront proxy pods.
## Example:
## initContainers:
## - name: your-image-name
## image: your-image
## imagePullPolicy: Always
## ports:
## - name: portname
## containerPort: 1234
##
initContainers: {}
## Add sidecars to the Wavefront proxy pods.
## Example:
## sidecars:
## - name: your-image-name
## image: your-image
## imagePullPolicy: Always
## ports:
## - name: portname
## containerPort: 1234
##
sidecars: {}
## The number of pod replicas to run for the Wavefront Proxy deployment
##
replicas: 1
## The port number the proxy will listen on for metrics in Wavefront data format.
##
port: 2878
## The port number the proxy will listen on for tracing spans in Wavefront trace data format.
##
# tracePort: 30000
## The port number the proxy will listen on for tracing spans in Jaeger data format.
##
# jaegerPort: 30001
## TCP ports to receive Jaeger Thrift formatted data via HTTP. The data is then sent to Wavefront in Wavefront span format.
##
# traceJaegerHttpListenerPort: 30080
## The port number the proxy will listen on for tracing spans in Zipkin data format.
##
# zipkinPort: 9411
## Sampling rate to apply to tracing spans sent to the proxy.
## This rate is applied to all data formats the proxy is listening on.
## Value should be between 0.0 and 1.0
##
# traceSamplingRate: 0.25
## When this is set to a value greater than 0,
## spans that are greater than or equal to this value will be sampled.
##
# traceSamplingDuration: 500
## The port number the proxy will listen on for histogram distributions in Wavefront Distribution format.
##
# histogramPort: 40000
## The port number the proxy will listen on for minute acculumated histograms in Wavefront Data format.
##
# histogramMinutePort: 40001
## The port number the proxy will listen on for hour acculumated histograms in Wavefront Data format.
##
# histogramHourPort: 40002
## The port number the proxy will listen on for day acculumated histograms in Wavefront Data format.
##
# histogramDayPort: 40003
## The port number the proxy will listen on for minute acculumated delta counters in Wavefront Data format.
##
# deltaCounterPort: 50000
## Any configuration property can be passed to the proxy via command line args in
## in the format: `--<property_name> <value>`. Multiple properties can be specified
## separated by whitespace.
## Ref: https://docs.wavefront.com/proxies_configuring.html
##
# args:
## Proxy is a Java application. By default Java will consume up to 4G of heap memory.
## This can be used to override the default. Uses the `-Xmx` command line option for java
##
# heap: 1024m
## ConfigMap with Proxy preprocessor Configuration
##
# existingConfigmap:
## Preprocessor rules is a powerful way to apply filtering or to enhance metrics as they flow
## through the proxy. You can configure the rules here. By default a rule to drop Kubernetes
## generated labels is applied to remove unnecessary and often noisy tags.
## Ref: https://docs.wavefront.com/proxies_preprocessor_rules.html
##
# preprocessor:
# rules.yaml: |
# '2878':
# # fix %2F to be a / instead. May be required on EKS.
# - rule : fix-forward-slash
# action : replaceRegex
# scope : pointLine
# search : "%2F"
# replace : "/"
# # replace bad characters ("&", "$", "!", "@") with underscores in the entire point line string
# - rule : replace-badchars
# action : replaceRegex
# scope : pointLine
# search : "[&\\$!@]"
# replace : "_"
## Specifies whether PodSecurityPolicy resources should be created
##
podSecurityPolicy:
create: false
## Specifies whether RBAC resources should be created
##
rbac:
create: true
## Specifies whether a ServiceAccount should be created
##
serviceAccount:
create: true
## The name of the ServiceAccount to use.
## If not set and create is true, a name is generated using the fullname template
##
name:
## kube-state-metrics are used to get metrics about the state of the Kubernetes scheduler
## If enabled the kube-state-metrics chart will be installed as a subchart and the collector
## will be configured to capture metrics.
##
kube-state-metrics:
enabled: false
## Required for Project Pacific Kubernetes clusters.
## If enabled, a role binding to handle pod security policy will be installed within the Kubernetes cluster.
##
projectPacific:
enabled: false