Bilanciamento del carico con F5 e controller legacy forniti da Google

Nella versione 1.29 e precedenti, i cluster utente creati con la loadBalancer.f5BigIP hanno eseguito il deployment dei controller F5 forniti da Google. Poiché questi controller presentano limitazioni, nella versione 1.30 e successive Google Distributed Cloud blocca la creazione di cluster con la loadBalancer.f5BigIP configurazione. I nuovi cluster devono invece essere configurati per il bilanciamento del carico manuale e devi eseguire il deployment dei controller F5.

Questa pagina mostra come eseguire il deployment dei controller F5 legacy forniti da Google per un cluster utente creato con Google Distributed Cloud. Sebbene il deployment di questi controller sia supportato, ti consigliamo di installare l'ultimo controller CIS di F5.

Prerequisiti:

  • Hai un cluster utente con la manualLB.

  • Hai un server F5 per il cluster utente e conosci le relative informazioni di accesso.

  • Vuoi automatizzare la procedura di configurazione dei server virtuali in F5 per i servizi Kubernetes di tipo LoadBalancer nel cluster utente.

Passaggio 1. Prepara i modelli per i controller

Recupera le informazioni di F5 e genera i modelli.

Recupera le informazioni di F5

  1. Imposta le seguenti variabili segnaposto con le informazioni di accesso del server F5:

    • Nome utente F5: USERNAME

    • Password F5: PASSWORD

    • Indirizzo F5: ADDRESS

    • Partizione F5: PARTITION

  2. Imposta SnatPoolName. Se non utilizzi SNAT, lascia vuota la variabile segnaposto:

    SnatPoolName: SNAT_POOL_NAME

Recupera le informazioni sul registro e sulla versione

  1. Recupera la risorsa personalizzata onpremusercluster:

    kubectl --kubeconfig USER_CLUSTER_KUBECONFIG get onpremusercluster -oyaml -n kube-system

  2. Copia i seguenti campi dalla risorsa personalizzata onpremusercluster: 

    Registry: REGISTRY (onpremusercluster.spec.registry.address)
ImageTag: IMAGE_TAG (onpremusercluster.spec.gkeOnPremVersion)

Genera i modelli

cat > templates.yaml << EOF
apiVersion: v1
kind: Secret
metadata:
  name: bigip-login
  namespace: kube-system
stringData:
  password: "PASSWORD"
  username: "USERNAME"
  url: "ADDRESS"
  partition: "PARTITION"
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: bigip-ctlr
  namespace: kube-system
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: load-balancer-f5
  namespace: kube-system
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: k8s-bigip-ctlr-deployment
  namespace: kube-system
spec:
  replicas: 1
  selector:
    matchLabels:
      app: k8s-bigip-ctlr
  template:
    metadata:
      name: k8s-bigip-ctlr
      labels:
        app: k8s-bigip-ctlr
    spec:
      serviceAccountName: bigip-ctlr
      volumes:
        - name: bigip-login
          secret:
            secretName: bigip-login
      containers:
        - name: k8s-bigip-ctlr
          image: "REGISTRY/k8s-bigip-ctlr:v1.14.0-gke.28"
          resources:
            requests:
              cpu: 60m
              memory: 90Mi
          volumeMounts:
            - name: bigip-login
              readOnly: true
              mountPath: "/etc/bigip-login"
          env:
            - name: BIGIP_PARTITION
              valueFrom:
                secretKeyRef:
                  name: bigip-login
                  key: partition
          command: ["/app/bin/k8s-bigip-ctlr"]
          args: [
            # See the k8s-bigip-ctlr documentation for information about
            # all config options
            # http://clouddocs.f5.com/products/connectors/k8s-bigip-ctlr/latest
            "--http-listen-address=:9097",
            "--credentials-directory=/etc/bigip-login",
            "--bigip-partition=\$(BIGIP_PARTITION)",
            "--log-level=ERROR",
            "--pool-member-type=nodeport",
            "--manage-ingress=false",
            "--vs-snat-pool-name=SNAT_POOL_NAME"
          ]
      dnsPolicy: Default
      imagePullSecrets:
        - name: private-registry-creds
      nodeSelector:
        kubernetes.io/os: linux
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: load-balancer-f5
  namespace: kube-system
  labels:
    app: load-balancer-f5
spec:
  replicas: 1
  selector:
    matchLabels:
      app: load-balancer-f5
  template:
    metadata:
      name: load-balancer-f5
      labels:
        app: load-balancer-f5
    spec:
      serviceAccountName: load-balancer-f5
      containers:
        - name: load-balancer-f5
          image: "REGISTRY/load-balancer-f5:IMAGE_TAG"
          env:
            - name: BIGIP_PARTITION
              valueFrom:
                secretKeyRef:
                  name: bigip-login
                  key: partition
          command:
            - ./load-balancer-f5
          args:
            - "--bigip-partition=\$(BIGIP_PARTITION)"
          resources:
            requests:
              cpu: 2m
              memory: 13Mi
      imagePullSecrets:
        - name: private-registry-creds
      nodeSelector:
        kubernetes.io/os: linux
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: bigip-ctlr-clusterrole-binding
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: bigip-ctlr-clusterrole
subjects:
  - kind: ServiceAccount
    name: bigip-ctlr
    namespace: kube-system
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: load-balancer-f5-clusterrole-binding
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: load-balancer-f5-clusterrole
subjects:
  - kind: ServiceAccount
    name: load-balancer-f5
    namespace: kube-system
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name:
    bigip-ctlr-clusterrole
rules:
  - apiGroups: ["", "extensions"]
    resources: ["nodes", "services", "endpoints", "namespaces", "ingresses", "pods"]
    verbs: ["get", "list", "watch"]
  - apiGroups: ["", "extensions"]
    resources: ["configmaps", "events", "ingresses/status"]
    verbs: ["get", "list", "watch"]
  - apiGroups: ["", "extensions"]
    resources: ["secrets"]
    resourceNames: ["bigip-login"]
    verbs: ["get", "list", "watch"]
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name:
    load-balancer-f5-clusterrole
rules:
  - apiGroups: [""]
    resources: ["events", "nodes"]
    verbs: ["get", "list", "watch"]
  - apiGroups: [""]
    resources: ["services", "services/status"]
    verbs: ["get", "list", "watch", "patch", "update"]
  - apiGroups: [""]
    resources: ["configmaps"]
    verbs: ["get", "list", "watch",  "create", "patch", "delete"]
EOF

Passaggio 2. Applica i modelli al cluster utente

kubectl --kubeconfig USER_CLUSTER_KUBECONFIG apply -f templates.yaml