При попытке установить ElasticSearch для Kubernetes на экземпляр PKS я сталкиваюсь с проблемой, когда после запуска kubectl get events --all-namespaces я вижу create Pod logging-es-default-0 in StatefulSet logging-es-default failed error: pods "logging-es-default-0" is forbidden: SecurityContext.RunAsUser is forbidden. Это как-то связано с политикой безопасности pod? Есть ли способ развернуть ElasticSearch в Kubernetes, если привилегированные контейнеры не разрешены?
Редактировать: вот файл values.yml, который я передаю в таблицу управления silksearch.
---
clusterName: "elasticsearch"
nodeGroup: "master"
# The service that non master groups will try to connect to when joining the cluster
# This should be set to clusterName + "-" + nodeGroup for your master group
masterService: ""
# Elasticsearch roles that will be applied to this nodeGroup
# These will be set as environment variables. E.g. node.master=true
roles:
master: "true"
ingest: "true"
data: "true"
replicas: 3
minimumMasterNodes: 2
esMajorVersion: ""
# Allows you to add any config files in /usr/share/elasticsearch/config/
# such as elasticsearch.yml and log4j2.properties
esConfig: {}
# elasticsearch.yml: |
# key:
# nestedkey: value
# log4j2.properties: |
# key = value
# Extra environment variables to append to this nodeGroup
# This will be appended to the current 'env:' key. You can use any of the kubernetes env
# syntax here
extraEnvs: []
# - name: MY_ENVIRONMENT_VAR
# value: the_value_goes_here
# A list of secrets and their paths to mount inside the pod
# This is useful for mounting certificates for security and for mounting
# the X-Pack license
secretMounts: []
# - name: elastic-certificates
# secretName: elastic-certificates
# path: /usr/share/elasticsearch/config/certs
image: "docker.elastic.co/elasticsearch/elasticsearch"
imageTag: "7.4.1"
imagePullPolicy: "IfNotPresent"
podAnnotations: {}
# iam.amazonaws.com/role: es-cluster
# additionals labels
labels: {}
esJavaOpts: "-Xmx1g -Xms1g"
resources:
requests:
cpu: "100m"
memory: "2Gi"
limits:
cpu: "1000m"
memory: "2Gi"
initResources: {}
# limits:
# cpu: "25m"
# # memory: "128Mi"
# requests:
# cpu: "25m"
# memory: "128Mi"
sidecarResources: {}
# limits:
# cpu: "25m"
# # memory: "128Mi"
# requests:
# cpu: "25m"
# memory: "128Mi"
networkHost: "0.0.0.0"
volumeClaimTemplate:
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: 30Gi
rbac:
create: false
serviceAccountName: ""
podSecurityPolicy:
create: false
name: ""
spec:
privileged: false
fsGroup:
rule: RunAsAny
runAsUser:
rule: RunAsAny
seLinux:
rule: RunAsAny
supplementalGroups:
rule: RunAsAny
volumes:
- secret
- configMap
- persistentVolumeClaim
persistence:
enabled: true
annotations: {}
extraVolumes: ""
# - name: extras
# emptyDir: {}
extraVolumeMounts: ""
# - name: extras
# mountPath: /usr/share/extras
# readOnly: true
extraInitContainers: ""
# - name: do-something
# image: busybox
# command: ['do', 'something']
# This is the PriorityClass settings as defined in
# https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/#priorityclass
priorityClassName: ""
# By default this will make sure two pods don't end up on the same node
# Changing this to a region would allow you to spread pods across regions
antiAffinityTopologyKey: "kubernetes.io/hostname"
# Hard means that by default pods will only be scheduled if there are enough nodes for them
# and that they will never end up on the same node. Setting this to soft will do this "best effort"
antiAffinity: "hard"
# This is the node affinity settings as defined in
# https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#node-affinity-beta-feature
nodeAffinity: {}
# The default is to deploy all pods serially. By setting this to parallel all pods are started at
# the same time when bootstrapping the cluster
podManagementPolicy: "Parallel"
protocol: http
httpPort: 9200
transportPort: 9300
service:
labels: {}
labelsHeadless: {}
type: ClusterIP
nodePort: ""
annotations: {}
httpPortName: http
transportPortName: transport
updateStrategy: RollingUpdate
# This is the max unavailable setting for the pod disruption budget
# The default value of 1 will make sure that kubernetes won't allow more than 1
# of your pods to be unavailable during maintenance
maxUnavailable: 1
podSecurityContext:
fsGroup: null
runAsUser: null
# The following value is deprecated,
# please use the above podSecurityContext.fsGroup instead
fsGroup: ""
securityContext:
capabilities: null
# readOnlyRootFilesystem: true
runAsNonRoot: null
runAsUser: null
# How long to wait for elasticsearch to stop gracefully
terminationGracePeriod: 120
sysctlVmMaxMapCount: 262144
readinessProbe:
failureThreshold: 3
initialDelaySeconds: 10
periodSeconds: 10
successThreshold: 3
timeoutSeconds: 5
# https://www.elastic.co/guide/en/elasticsearch/reference/current/cluster-health.html#request-params wait_for_status
clusterHealthCheckParams: "wait_for_status=green&timeout=1s"
## Use an alternate scheduler.
## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
##
schedulerName: ""
imagePullSecrets: []
nodeSelector: {}
tolerations: []
# Enabling this will publically expose your Elasticsearch instance.
# Only enable this if you have security enabled on your cluster
ingress:
enabled: false
annotations: {}
# kubernetes.io/ingress.class: nginx
# kubernetes.io/tls-acme: "true"
path: /
hosts:
- chart-example.local
tls: []
# - secretName: chart-example-tls
# hosts:
# - chart-example.local
nameOverride: ""
fullnameOverride: ""
# https://github.com/elastic/helm-charts/issues/63
masterTerminationFix: false
lifecycle: {}
# preStop:
# exec:
# command: ["/bin/sh", "-c", "echo Hello from the postStart handler > /usr/share/message"]
# postStart:
# exec:
# command: ["/bin/sh", "-c", "echo Hello from the postStart handler > /usr/share/message"]
sysctlInitContainer:
enabled: false
keystore: []
Приведенные выше значения приводят к следующей ошибке:
create Pod elasticsearch-master-0 in StatefulSet elasticsearch-master failed error: pods "elasticsearch-master-0" is forbidden: SecurityContext.RunAsUser is forbidden
Решено: Я узнал, что мое развертывание istio вызывало проблемы при попытке развернуть любую другую службу в моем кластере. Я сделал неверное предположение, что istio вместе с моей политикой безопасности кластера не вызывало мою проблему.