Cannot disable TLS and security in EKS

Elastic Orchestration Elastic Cloud on Kubernetes (ECK)
10

Same issue.
After add selfSignedCertificate into ES.
Search by http is correct.

# curl -u "elastic:$PASSWORD" -k "http://xxxxxx:30300"
{
  "name" : "es-monitor-es-master-1",
  "cluster_name" : "es-monitor",
  "cluster_uuid" : "jxYqF_E0QuSAzQsJII63xQ",
  "version" : {
    "number" : "7.14.1",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "66b55ebfa59c92c15db3f69a335d500018b3331e",
    "build_date" : "2021-08-26T09:01:05.390870785Z",
    "build_snapshot" : false,
    "lucene_version" : "8.9.0",
    "minimum_wire_compatibility_version" : "6.8.0",
    "minimum_index_compatibility_version" : "6.0.0-beta1"
  },
  "tagline" : "You Know, for Search"
}

But can not connect from kibana.
es_monitor.yaml

# cat es_monitor.yaml
apiVersion: v1
items:
- apiVersion: elasticsearch.k8s.elastic.co/v1
  kind: Elasticsearch
  metadata:
    annotations:
      common.k8s.elastic.co/controller-version: 1.7.1
      eck.k8s.elastic.co/es-client-timeout: 60s
    name: es-monitor
    namespace: monitor
  spec:
    auth: {}
    http:
      service:
        metadata: {}
        spec:
          ports:
          - name: https
            nodePort: 30300
            port: 9200
            protocol: TCP
            targetPort: 9200
          type: NodePort
      tls:
        selfSignedCertificate:
          disabled: true
        certificate: {}
    monitoring:
      logs: {}
      metrics: {}
    nodeSets:
    - config:
        node.data: true
        node.ingest: true
        node.master: true
      count: 3
      name: master
      podTemplate:
        metadata: {}
        spec:
          containers:
          - env:
            - name: ES_JAVA_OPTS
              value: -Xms2048m -Xmx2048m
            name: elasticsearch
            resources:
              limits:
                cpu: "2"
                memory: 4Gi
              requests:
                cpu: "1"
                memory: 4Gi
          initContainers:
          - command:
            - sh
            - -c
            - sysctl -w vm.max_map_count=262144
            name: sysctl
            resources: {}
            securityContext:
              privileged: true
          - command:
            - sh
            - -c
            - |
              bin/elasticsearch-plugin install --batch repository-hdfs
            name: install-plugins
      volumeClaimTemplates:
      - metadata:
          name: elasticsearch-data
        spec:
          accessModes:
          - ReadWriteOnce
          resources:
            requests:
              storage: 100Gi
          storageClassName: local-path
        status: {}
    transport:
      service:
        metadata: {}
        spec: {}
      tls:
        certificate: {}
    updateStrategy:
      changeBudget: {}
    version: 7.14.1
kind: List
metadata:
  resourceVersion: ""
  selfLink: ""

Depoly it.

kubectl apply -f kb_monitor.yam
kubectl describe kibana  -n monitor

But can not init pod.

# kubectl describe kibana  -n monitor
Name:         monitor
Namespace:    monitor
Labels:       <none>
Annotations:  common.k8s.elastic.co/controller-version: 1.7.1
API Version:  kibana.k8s.elastic.co/v1
Kind:         Kibana
Metadata:
  Creation Timestamp:  2021-10-18T11:42:16Z
  Generation:          2
  Managed Fields:
    API Version:  kibana.k8s.elastic.co/v1
    Fields Type:  FieldsV1
    fieldsV1:
      f:metadata:
        f:annotations:
          f:common.k8s.elastic.co/controller-version:
    Manager:      elastic-operator
    Operation:    Update
    Time:         2021-10-18T11:42:16Z
    API Version:  kibana.k8s.elastic.co/v1
    Fields Type:  FieldsV1
    fieldsV1:
      f:status:
        .:
        f:associationStatus:
        f:count:
        f:elasticsearchAssociationStatus:
    Manager:      elastic-operator
    Operation:    Update
    Subresource:  status
    Time:         2021-10-18T11:42:16Z
    API Version:  kibana.k8s.elastic.co/v1
    Fields Type:  FieldsV1
    fieldsV1:
      f:metadata:
        f:annotations:
          .:
          f:kubectl.kubernetes.io/last-applied-configuration:
      f:spec:
        .:
        f:count:
        f:elasticsearchRef:
          .:
          f:name:
        f:enterpriseSearchRef:
          .:
          f:name:
        f:http:
          .:
          f:service:
            .:
            f:metadata:
            f:spec:
              .:
              f:ports:
                .:
                k:{"port":5601,"protocol":"TCP"}:
                  .:
                  f:name:
                  f:nodePort:
                  f:port:
                  f:protocol:
                  f:targetPort:
              f:type:
          f:tls:
            .:
            f:certificate:
        f:monitoring:
          .:
          f:logs:
          f:metrics:
        f:podTemplate:
          .:
          f:metadata:
          f:spec:
        f:version:
    Manager:         kubectl-client-side-apply
    Operation:       Update
    Time:            2021-10-18T12:42:04Z
  Resource Version:  4059719
  UID:               da795b91-5373-4d7a-9e5d-f8a8ffa43c45
Spec:
  Count:  1
  Elasticsearch Ref:
    Name:  es-monitor
  Enterprise Search Ref:
    Name:
  Http:
    Service:
      Metadata:
      Spec:
        Ports:
          Name:         https
          Node Port:    30603
          Port:         5601
          Protocol:     TCP
          Target Port:  5601
        Type:           NodePort
    Tls:
      Certificate:
  Monitoring:
    Logs:
    Metrics:
  Pod Template:
    Metadata:
      Creation Timestamp:  <nil>
    Spec:
      Containers:  <nil>
  Version:         7.14.1
Status:
  Association Status:                Pending
  Count:                             0
  Elasticsearch Association Status:  Pending
Events:
  Type     Reason            Age                  From               Message
  ----     ------            ----                 ----               -------
  Warning  AssociationError  7m16s (x5 over 67m)  kibana-controller  Association backend for elasticsearch is not configured

Any one can help me, very thanks !