237 lines
8.9 KiB
YAML
237 lines
8.9 KiB
YAML
#! Copyright 2020-2022 the Pinniped contributors. All Rights Reserved.
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#! SPDX-License-Identifier: Apache-2.0
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#@ load("@ytt:data", "data")
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#@ load("@ytt:yaml", "yaml")
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#@ load("helpers.lib.yaml",
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#@ "defaultLabel",
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#@ "labels",
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#@ "deploymentPodLabel",
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#@ "namespace",
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#@ "defaultResourceName",
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#@ "defaultResourceNameWithSuffix",
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#@ "pinnipedDevAPIGroupWithPrefix",
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#@ "getPinnipedConfigMapData",
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#@ "hasUnixNetworkEndpoint",
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#@ )
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#@ load("@ytt:template", "template")
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#@ if not data.values.into_namespace:
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---
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apiVersion: v1
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kind: Namespace
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metadata:
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name: #@ data.values.namespace
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labels: #@ labels()
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#@ end
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---
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apiVersion: v1
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kind: ServiceAccount
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metadata:
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name: #@ defaultResourceName()
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namespace: #@ namespace()
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labels: #@ labels()
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---
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: #@ defaultResourceNameWithSuffix("static-config")
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namespace: #@ namespace()
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labels: #@ labels()
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data:
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#@yaml/text-templated-strings
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pinniped.yaml: #@ yaml.encode(getPinnipedConfigMapData())
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---
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#@ if data.values.image_pull_dockerconfigjson and data.values.image_pull_dockerconfigjson != "":
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apiVersion: v1
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kind: Secret
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metadata:
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name: image-pull-secret
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namespace: #@ namespace()
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labels: #@ labels()
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type: kubernetes.io/dockerconfigjson
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data:
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.dockerconfigjson: #@ data.values.image_pull_dockerconfigjson
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#@ end
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---
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: #@ defaultResourceName()
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namespace: #@ namespace()
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labels: #@ labels()
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spec:
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replicas: #@ data.values.replicas
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selector:
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#! In hindsight, this should have been deploymentPodLabel(), but this field is immutable so changing it would break upgrades.
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matchLabels: #@ defaultLabel()
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template:
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metadata:
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labels:
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#! This has always included defaultLabel(), which is used by this Deployment's selector.
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_: #@ template.replace(defaultLabel())
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#! More recently added the more unique deploymentPodLabel() so Services can select these Pods more specifically
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#! without accidentally selecting pods from any future Deployments which might also want to use the defaultLabel().
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_: #@ template.replace(deploymentPodLabel())
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spec:
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securityContext:
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runAsUser: #@ data.values.run_as_user
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runAsGroup: #@ data.values.run_as_group
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serviceAccountName: #@ defaultResourceName()
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#@ if data.values.image_pull_dockerconfigjson and data.values.image_pull_dockerconfigjson != "":
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imagePullSecrets:
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- name: image-pull-secret
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#@ end
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containers:
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- name: #@ defaultResourceName()
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#@ if data.values.image_digest:
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image: #@ data.values.image_repo + "@" + data.values.image_digest
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#@ else:
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image: #@ data.values.image_repo + ":" + data.values.image_tag
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#@ end
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imagePullPolicy: IfNotPresent
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command:
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- pinniped-supervisor
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- /etc/podinfo
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- /etc/config/pinniped.yaml
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securityContext:
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readOnlyRootFilesystem: true
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runAsNonRoot: true
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allowPrivilegeEscalation: false
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capabilities:
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drop: [ "ALL" ]
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#! seccompProfile was introduced in Kube v1.19. Using it on an older Kube version will result in a
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#! kubectl validation error when installing via `kubectl apply`, which can be ignored using kubectl's
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#! `--validate=false` flag. Note that installing via `kapp` does not complain about this validation error.
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seccompProfile:
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type: "RuntimeDefault"
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resources:
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requests:
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#! If OIDCClient CRs are being used, then the Supervisor needs enough CPU to run expensive bcrypt
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#! operations inside the implementation of the token endpoint for any authcode flows performed by those
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#! clients, so for that use case administrators may wish to increase the requests.cpu value to more
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#! closely align with their anticipated needs. Increasing this value will cause Kubernetes to give more
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#! available CPU to this process during times of high CPU contention. By default, don't ask for too much
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#! because that would make it impossible to install the Pinniped Supervisor on small clusters.
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#! Aside from performing bcrypts at the token endpoint for those clients, the Supervisor is not a
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#! particularly CPU-intensive process.
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cpu: "100m" #! by default, request one-tenth of a CPU
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memory: "128Mi"
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limits:
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#! By declaring a CPU limit that is not equal to the CPU request value, the Supervisor will be classified
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#! by Kubernetes to have "burstable" quality of service.
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#! See https://kubernetes.io/docs/tasks/configure-pod-container/quality-service-pod/#create-a-pod-that-gets-assigned-a-qos-class-of-burstable
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#! If OIDCClient CRs are being used, and lots of simultaneous users have active sessions, then it is hard
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#! pre-determine what the CPU limit should be for that use case. Guessing too low would cause the
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#! pod's CPU usage to be throttled, resulting in poor performance. Guessing too high would allow clients
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#! to cause the usage of lots of CPU resources. Administrators who have a good sense of anticipated usage
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#! patterns may choose to set the requests.cpu and limits.cpu differently from these defaults.
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cpu: "1000m" #! by default, throttle each pod's usage at 1 CPU
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memory: "128Mi"
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volumeMounts:
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- name: config-volume
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mountPath: /etc/config
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readOnly: true
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- name: podinfo
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mountPath: /etc/podinfo
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readOnly: true
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#@ if hasUnixNetworkEndpoint():
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- name: socket
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mountPath: /pinniped_socket
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readOnly: false #! writable to allow for socket use
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#@ end
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ports:
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- containerPort: 8443
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protocol: TCP
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env:
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#@ if data.values.https_proxy:
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- name: HTTPS_PROXY
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value: #@ data.values.https_proxy
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#@ end
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#@ if data.values.https_proxy and data.values.no_proxy:
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- name: NO_PROXY
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value: #@ data.values.no_proxy
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#@ end
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livenessProbe:
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httpGet:
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path: /healthz
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port: 8443
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scheme: HTTPS
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initialDelaySeconds: 2
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timeoutSeconds: 15
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periodSeconds: 10
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failureThreshold: 5
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readinessProbe:
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httpGet:
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path: /healthz
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port: 8443
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scheme: HTTPS
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initialDelaySeconds: 2
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timeoutSeconds: 3
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periodSeconds: 10
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failureThreshold: 3
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volumes:
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- name: config-volume
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configMap:
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name: #@ defaultResourceNameWithSuffix("static-config")
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- name: podinfo
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downwardAPI:
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items:
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- path: "labels"
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fieldRef:
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fieldPath: metadata.labels
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- path: "namespace"
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fieldRef:
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fieldPath: metadata.namespace
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- path: "name"
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fieldRef:
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fieldPath: metadata.name
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#@ if hasUnixNetworkEndpoint():
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- name: socket
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emptyDir: {}
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#@ end
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#! This will help make sure our multiple pods run on different nodes, making
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#! our deployment "more" "HA".
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affinity:
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podAntiAffinity:
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preferredDuringSchedulingIgnoredDuringExecution:
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- weight: 50
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podAffinityTerm:
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labelSelector:
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matchLabels: #@ deploymentPodLabel()
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topologyKey: kubernetes.io/hostname
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---
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apiVersion: v1
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kind: Service
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metadata:
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#! If name is changed, must also change names.apiService in the ConfigMap above and spec.service.name in the APIService below.
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name: #@ defaultResourceNameWithSuffix("api")
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namespace: #@ namespace()
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labels: #@ labels()
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#! prevent kapp from altering the selector of our services to match kubectl behavior
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annotations:
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kapp.k14s.io/disable-default-label-scoping-rules: ""
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spec:
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type: ClusterIP
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selector: #@ deploymentPodLabel()
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ports:
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- protocol: TCP
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port: 443
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targetPort: 10250
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---
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apiVersion: apiregistration.k8s.io/v1
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kind: APIService
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metadata:
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name: #@ pinnipedDevAPIGroupWithPrefix("v1alpha1.clientsecret.supervisor")
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labels: #@ labels()
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spec:
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version: v1alpha1
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group: #@ pinnipedDevAPIGroupWithPrefix("clientsecret.supervisor")
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groupPriorityMinimum: 9900
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versionPriority: 15
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#! caBundle: Do not include this key here. Starts out null, will be updated/owned by the golang code.
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service:
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name: #@ defaultResourceNameWithSuffix("api")
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namespace: #@ namespace()
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port: 443
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