Implante recursos MongoDB Ops Manager em vários clusters Kubernetes

Criar clusters Kubernetes.

Você pode pular esta etapa se já tiver instalado e configurado seus próprios clusters Kubernetes com uma malha de serviço.

1. Criar três GKE (Google Kubernetes Engine) clusters:

   1
   gcloud container clusters create "${K8S_CLUSTER_0}" \
   2
         --zone="${K8S_CLUSTER_0_ZONE}" \
   3
         --num-nodes="${K8S_CLUSTER_0_NUMBER_OF_NODES}" \
   4
         --machine-type "${K8S_CLUSTER_0_MACHINE_TYPE}" \
   5
         ${GKE_SPOT_INSTANCES_SWITCH:-""}

   1
   gcloud container clusters create "${K8S_CLUSTER_1}" \
   2
         --zone="${K8S_CLUSTER_1_ZONE}" \
   3
         --num-nodes="${K8S_CLUSTER_1_NUMBER_OF_NODES}" \
   4
         --machine-type "${K8S_CLUSTER_1_MACHINE_TYPE}" \
   5
         ${GKE_SPOT_INSTANCES_SWITCH:-""}

   1
   gcloud container clusters create "${K8S_CLUSTER_2}" \
   2
         --zone="${K8S_CLUSTER_2_ZONE}" \
   3
         --num-nodes="${K8S_CLUSTER_2_NUMBER_OF_NODES}" \
   4
         --machine-type "${K8S_CLUSTER_2_MACHINE_TYPE}" \
   5
         ${GKE_SPOT_INSTANCES_SWITCH:-""}

2. Defina seu projeto gcloud padrão :

   1
   gcloud config set project "${MDB_GKE_PROJECT}"

3. Obtenha credenciais e salve contextos no arquivo kubeconfig atual. Por padrão, este arquivo está localizado no diretório ~/.kube/config e referenciado pela variável de ambiente $KUBECONFIG .

   1
   gcloud container clusters get-credentials "${K8S_CLUSTER_0}" --zone="${K8S_CLUSTER_0_ZONE}"
   2
   gcloud container clusters get-credentials "${K8S_CLUSTER_1}" --zone="${K8S_CLUSTER_1_ZONE}"
   3
   gcloud container clusters get-credentials "${K8S_CLUSTER_2}" --zone="${K8S_CLUSTER_2_ZONE}"

   Todos os comandos kubectl referenciam estes contextos utilizando as seguintes variáveis:

   • $K8S_CLUSTER_0_CONTEXT_NAME

   • $K8S_CLUSTER_1_CONTEXT_NAME

   • $K8S_CLUSTER_2_CONTEXT_NAME

4. Verifique se kubectl tem acesso aos clusters Kubernetes:

   1
   echo "Nodes in cluster ${K8S_CLUSTER_0_CONTEXT_NAME}"
   2
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" get nodes
   3
   echo; echo "Nodes in cluster ${K8S_CLUSTER_1_CONTEXT_NAME}"
   4
   kubectl --context "${K8S_CLUSTER_1_CONTEXT_NAME}" get nodes
   5
   echo; echo "Nodes in cluster ${K8S_CLUSTER_2_CONTEXT_NAME}"
   6
   kubectl --context "${K8S_CLUSTER_2_CONTEXT_NAME}" get nodes

   VISUALIZAR SAÍDA

   1
   Nodes in cluster gke_scratch-kubernetes-team_europe-central2-a_k8s-mdb-0
   2
   NAME                                       STATUS   ROLES    AGE   VERSION
   3
   gke-k8s-mdb-0-default-pool-267f1e8f-d0dg   Ready    <none>   38m   v1.29.7-gke.1104000
   4
   gke-k8s-mdb-0-default-pool-267f1e8f-pmgh   Ready    <none>   38m   v1.29.7-gke.1104000
   5
   gke-k8s-mdb-0-default-pool-267f1e8f-vgj9   Ready    <none>   38m   v1.29.7-gke.1104000
   6
   7
   Nodes in cluster gke_scratch-kubernetes-team_europe-central2-b_k8s-mdb-1
   8
   NAME                                       STATUS   ROLES    AGE   VERSION
   9
   gke-k8s-mdb-1-default-pool-263d341f-3tbp   Ready    <none>   38m   v1.29.7-gke.1104000
   10
   gke-k8s-mdb-1-default-pool-263d341f-4f26   Ready    <none>   38m   v1.29.7-gke.1104000
   11
   gke-k8s-mdb-1-default-pool-263d341f-z751   Ready    <none>   38m   v1.29.7-gke.1104000
   12
   13
   Nodes in cluster gke_scratch-kubernetes-team_europe-central2-c_k8s-mdb-2
   14
   NAME                                       STATUS   ROLES    AGE   VERSION
   15
   gke-k8s-mdb-2-default-pool-d0da5fd1-chm1   Ready    <none>   38m   v1.29.7-gke.1104000

5. Instalar o Sistema malha de serviços para permitir resolução de DNS entre clusters e conectividade de rede entre clusters Kubernetes:

   1
   CTX_CLUSTER1=${K8S_CLUSTER_0_CONTEXT_NAME} \
   2
   CTX_CLUSTER2=${K8S_CLUSTER_1_CONTEXT_NAME} \
   3
   CTX_CLUSTER3=${K8S_CLUSTER_2_CONTEXT_NAME} \
   4
   ISTIO_VERSION="1.20.2" \
   5
   ../multi-cluster/install_istio_separate_network.sh

Crie namespaces.

• Crie um namespace separado, mongodb-operator, referenciado pela variável de ambiente $OPERATOR_NAMESPACE para o sistema do Kubernetes Operator.

• Crie o mesmo $OPERATOR_NAMESPACE em cada cluster Kubernetes de membros. Isso é necessário para que o plug- in kubectl MongoDB possa criar uma conta de serviço para o Kubernetes Operator em cada cluster de membros. O Operador Kubernetes utiliza estas contas de serviço no cluster do operador para executar operações em cada cluster de membros.

  1
  kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" create namespace "${OPERATOR_NAMESPACE}"
  2
  kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" label namespace "${OPERATOR_NAMESPACE}" istio-injection=enabled --overwrite
  3
  4
  kubectl --context "${K8S_CLUSTER_1_CONTEXT_NAME}" create namespace "${OPERATOR_NAMESPACE}"
  5
  kubectl --context "${K8S_CLUSTER_1_CONTEXT_NAME}" label namespace "${OPERATOR_NAMESPACE}" istio-injection=enabled --overwrite
  6
  7
  kubectl --context "${K8S_CLUSTER_2_CONTEXT_NAME}" create namespace "${OPERATOR_NAMESPACE}"
  8
  kubectl --context "${K8S_CLUSTER_2_CONTEXT_NAME}" label namespace "${OPERATOR_NAMESPACE}" istio-injection=enabled --overwrite

• Em cada cluster de membros, incluindo o cluster de membros que serve como cluster de operador, crie outro namespace separado, mongodb. O Kubernetes Operator usa este namespace para recursos e componentes do MongoDB Ops Manager .

  1
  kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" create namespace "${NAMESPACE}"
  2
  kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" label namespace "${NAMESPACE}" istio-injection=enabled --overwrite
  3
  4
  kubectl --context "${K8S_CLUSTER_1_CONTEXT_NAME}" create namespace "${NAMESPACE}"
  5
  kubectl --context "${K8S_CLUSTER_1_CONTEXT_NAME}" label namespace "${NAMESPACE}" istio-injection=enabled --overwrite
  6
  7
  kubectl --context "${K8S_CLUSTER_2_CONTEXT_NAME}" create namespace "${NAMESPACE}"
  8
  kubectl --context "${K8S_CLUSTER_2_CONTEXT_NAME}" label namespace "${NAMESPACE}" istio-injection=enabled --overwrite

Opcional. Autorize clusters a extrair segredos de registros de imagens privadas.

Esta etapa é opcional se você usar os Atlas Charts do Quay registro.

1
kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${OPERATOR_NAMESPACE}" create secret generic "image-registries-secret" \
2
        --from-file=.dockerconfigjson="${HOME}/.docker/config.json" --type=kubernetes.io/dockerconfigjson
3
kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" create secret generic "image-registries-secret" \
4
        --from-file=.dockerconfigjson="${HOME}/.docker/config.json" --type=kubernetes.io/dockerconfigjson
5
kubectl --context "${K8S_CLUSTER_1_CONTEXT_NAME}" -n "${NAMESPACE}" create secret generic "image-registries-secret" \
6
        --from-file=.dockerconfigjson="${HOME}/.docker/config.json" --type=kubernetes.io/dockerconfigjson
7
kubectl --context "${K8S_CLUSTER_2_CONTEXT_NAME}" -n "${NAMESPACE}" create secret generic "image-registries-secret" \
8
        --from-file=.dockerconfigjson="${HOME}/.docker/config.json" --type=kubernetes.io/dockerconfigjson

Opcional. Verifique a conectividade do cluster.

Os scripts opcionais a seguir verificam se a interface de serviço está configurada corretamente para resolução e conectividade de DNS entre clusters.

1. Execute este script no cluster 0:

   1
   kubectl apply --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" -f - <<EOF
   2
     apiVersion: apps/v1
   3
     kind: StatefulSet
   4
     metadata:
   5
       name: echoserver0
   6
     spec:
   7
       replicas: 1
   8
       selector:
   9
         matchLabels:
   10
           app: echoserver0
   11
       template:
   12
         metadata:
   13
           labels:
   14
             app: echoserver0
   15
         spec:
   16
           containers:
   17
             - image: k8s.gcr.io/echoserver:1.10
   18
               imagePullPolicy: Always
   19
               name: echoserver0
   20
               ports:
   21
                 - containerPort: 8080
   22
   EOF

2. Execute este script no cluster 1:

   1
   kubectl apply --context "${K8S_CLUSTER_1_CONTEXT_NAME}" -n "${NAMESPACE}" -f - <<EOF
   2
     apiVersion: apps/v1
   3
     kind: StatefulSet
   4
     metadata:
   5
       name: echoserver1
   6
     spec:
   7
       replicas: 1
   8
       selector:
   9
         matchLabels:
   10
           app: echoserver1
   11
       template:
   12
         metadata:
   13
           labels:
   14
             app: echoserver1
   15
         spec:
   16
           containers:
   17
             - image: k8s.gcr.io/echoserver:1.10
   18
               imagePullPolicy: Always
   19
               name: echoserver1
   20
               ports:
   21
                 - containerPort: 8080
   22
   EOF

3. Execute este script no cluster 2:

   1
   kubectl apply --context "${K8S_CLUSTER_2_CONTEXT_NAME}" -n "${NAMESPACE}" -f - <<EOF
   2
     apiVersion: apps/v1
   3
     kind: StatefulSet
   4
     metadata:
   5
       name: echoserver2
   6
     spec:
   7
       replicas: 1
   8
       selector:
   9
         matchLabels:
   10
           app: echoserver2
   11
       template:
   12
         metadata:
   13
           labels:
   14
             app: echoserver2
   15
         spec:
   16
           containers:
   17
             - image: k8s.gcr.io/echoserver:1.10
   18
               imagePullPolicy: Always
   19
               name: echoserver2
   20
               ports:
   21
                 - containerPort: 8080
   22
   EOF

4. Execute este script para aguardar a criação do StatefulSets:

   1
   kubectl wait --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" --for=condition=ready pod -l statefulset.kubernetes.io/pod-name=echoserver0-0 --timeout=60s
   2
   kubectl wait --context "${K8S_CLUSTER_1_CONTEXT_NAME}" -n "${NAMESPACE}" --for=condition=ready pod -l statefulset.kubernetes.io/pod-name=echoserver1-0 --timeout=60s
   3
   kubectl wait --context "${K8S_CLUSTER_2_CONTEXT_NAME}" -n "${NAMESPACE}" --for=condition=ready pod -l statefulset.kubernetes.io/pod-name=echoserver2-0 --timeout=60s

5. Criar serviço de Pod no cluster 0:

   1
   kubectl apply --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" -f - <<EOF
   2
   apiVersion: v1
   3
   kind: Service
   4
   metadata:
   5
     name: echoserver0-0
   6
   spec:
   7
     ports:
   8
       - port: 8080
   9
         targetPort: 8080
   10
         protocol: TCP
   11
     selector:
   12
       statefulset.kubernetes.io/pod-name: "echoserver0-0"
   13
   EOF

6. Criar serviço de Pod no cluster 1:

   1
   kubectl apply --context "${K8S_CLUSTER_1_CONTEXT_NAME}" -n "${NAMESPACE}" -f - <<EOF
   2
   apiVersion: v1
   3
   kind: Service
   4
   metadata:
   5
     name: echoserver1-0
   6
   spec:
   7
     ports:
   8
       - port: 8080
   9
         targetPort: 8080
   10
         protocol: TCP
   11
     selector:
   12
       statefulset.kubernetes.io/pod-name: "echoserver1-0"
   13
   EOF

7. Criar serviço de Pod no cluster 2:

   1
   kubectl apply --context "${K8S_CLUSTER_2_CONTEXT_NAME}" -n "${NAMESPACE}" -f - <<EOF
   2
   apiVersion: v1
   3
   kind: Service
   4
   metadata:
   5
     name: echoserver2-0
   6
   spec:
   7
     ports:
   8
       - port: 8080
   9
         targetPort: 8080
   10
         protocol: TCP
   11
     selector:
   12
       statefulset.kubernetes.io/pod-name: "echoserver2-0"
   13
   EOF

8. Criar serviço de round robin no cluster 0:

   1
   kubectl apply --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" -f - <<EOF
   2
   apiVersion: v1
   3
   kind: Service
   4
   metadata:
   5
     name: echoserver
   6
   spec:
   7
     ports:
   8
       - port: 8080
   9
         targetPort: 8080
   10
         protocol: TCP
   11
     selector:
   12
       app: echoserver0
   13
   EOF

9. Criar serviço de round robin no cluster 1:

   1
   kubectl apply --context "${K8S_CLUSTER_1_CONTEXT_NAME}" -n "${NAMESPACE}" -f - <<EOF
   2
   apiVersion: v1
   3
   kind: Service
   4
   metadata:
   5
     name: echoserver
   6
   spec:
   7
     ports:
   8
       - port: 8080
   9
         targetPort: 8080
   10
         protocol: TCP
   11
     selector:
   12
       app: echoserver1
   13
   EOF

10. Criar serviço de round robin no cluster 2:

    1
    kubectl apply --context "${K8S_CLUSTER_2_CONTEXT_NAME}" -n "${NAMESPACE}" -f - <<EOF
    2
    apiVersion: v1
    3
    kind: Service
    4
    metadata:
    5
      name: echoserver
    6
    spec:
    7
      ports:
    8
        - port: 8080
    9
          targetPort: 8080
    10
          protocol: TCP
    11
      selector:
    12
        app: echoserver2
    13
    EOF

11. Verifique o Pod 0 do cluster 1:

    1
    source_cluster=${K8S_CLUSTER_1_CONTEXT_NAME}
    2
    target_pod="echoserver0-0"
    3
    source_pod="echoserver1-0"
    4
    target_url="http://${target_pod}.${NAMESPACE}.svc.cluster.local:8080"
    5
    echo "Checking cross-cluster DNS resolution and connectivity from ${source_pod} in ${source_cluster} to ${target_pod}"
    6
    out=$(kubectl exec --context "${source_cluster}" -n "${NAMESPACE}" "${source_pod}" -- \
    7
      /bin/bash -c "curl -v ${target_url}" 2>&1);
    8
    grep "Hostname: ${target_pod}" &>/dev/null <<< "${out}" && echo "SUCCESS" || (echo "ERROR: ${out}" && return 1)

    VISUALIZAR SAÍDA

    1
    Checking cross-cluster DNS resolution and connectivity from echoserver1-0 in gke_scratch-kubernetes-team_europe-central2-b_k8s-mdb-1 to echoserver0-0
    2
    SUCCESS

12. Verifique o Pod 1 do cluster 0:

    1
    source_cluster=${K8S_CLUSTER_0_CONTEXT_NAME}
    2
    target_pod="echoserver1-0"
    3
    source_pod="echoserver0-0"
    4
    target_url="http://${target_pod}.${NAMESPACE}.svc.cluster.local:8080"
    5
    echo "Checking cross-cluster DNS resolution and connectivity from ${source_pod} in ${source_cluster} to ${target_pod}"
    6
    out=$(kubectl exec --context "${source_cluster}" -n "${NAMESPACE}" "${source_pod}" -- \
    7
      /bin/bash -c "curl -v ${target_url}" 2>&1);
    8
    grep "Hostname: ${target_pod}" &>/dev/null <<< "${out}" && echo "SUCCESS" || (echo "ERROR: ${out}" && return 1)

    VISUALIZAR SAÍDA

    1
    Checking cross-cluster DNS resolution and connectivity from echoserver0-0 in gke_scratch-kubernetes-team_europe-central2-a_k8s-mdb-0 to echoserver1-0
    2
    SUCCESS

13. Verifique o Pod 1 do cluster 2:

    1
    source_cluster=${K8S_CLUSTER_2_CONTEXT_NAME}
    2
    target_pod="echoserver1-0"
    3
    source_pod="echoserver2-0"
    4
    target_url="http://${target_pod}.${NAMESPACE}.svc.cluster.local:8080"
    5
    echo "Checking cross-cluster DNS resolution and connectivity from ${source_pod} in ${source_cluster} to ${target_pod}"
    6
    out=$(kubectl exec --context "${source_cluster}" -n "${NAMESPACE}" "${source_pod}" -- \
    7
      /bin/bash -c "curl -v ${target_url}" 2>&1);
    8
    grep "Hostname: ${target_pod}" &>/dev/null <<< "${out}" && echo "SUCCESS" || (echo "ERROR: ${out}" && return 1)

    VISUALIZAR SAÍDA

    1
    Checking cross-cluster DNS resolution and connectivity from echoserver2-0 in gke_scratch-kubernetes-team_europe-central2-c_k8s-mdb-2 to echoserver1-0
    2
    SUCCESS

15. Verifique o Pod 2 do cluster 0:

    1
    source_cluster=${K8S_CLUSTER_0_CONTEXT_NAME}
    2
    target_pod="echoserver2-0"
    3
    source_pod="echoserver0-0"
    4
    target_url="http://${target_pod}.${NAMESPACE}.svc.cluster.local:8080"
    5
    echo "Checking cross-cluster DNS resolution and connectivity from ${source_pod} in ${source_cluster} to ${target_pod}"
    6
    out=$(kubectl exec --context "${source_cluster}" -n "${NAMESPACE}" "${source_pod}" -- \
    7
      /bin/bash -c "curl -v ${target_url}" 2>&1);
    8
    grep "Hostname: ${target_pod}" &>/dev/null <<< "${out}" && echo "SUCCESS" || (echo "ERROR: ${out}" && return 1)

    VISUALIZAR SAÍDA

    1
    Checking cross-cluster DNS resolution and connectivity from echoserver0-0 in gke_scratch-kubernetes-team_europe-central2-a_k8s-mdb-0 to echoserver2-0
    2
    SUCCESS

16. Execute o script de limpeza:

    1
    kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" delete statefulset echoserver0
    2
    kubectl --context "${K8S_CLUSTER_1_CONTEXT_NAME}" -n "${NAMESPACE}" delete statefulset echoserver1
    3
    kubectl --context "${K8S_CLUSTER_2_CONTEXT_NAME}" -n "${NAMESPACE}" delete statefulset echoserver2
    4
    kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" delete service echoserver
    5
    kubectl --context "${K8S_CLUSTER_1_CONTEXT_NAME}" -n "${NAMESPACE}" delete service echoserver
    6
    kubectl --context "${K8S_CLUSTER_2_CONTEXT_NAME}" -n "${NAMESPACE}" delete service echoserver
    7
    kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" delete service echoserver0-0
    8
    kubectl --context "${K8S_CLUSTER_1_CONTEXT_NAME}" -n "${NAMESPACE}" delete service echoserver1-0
    9
    kubectl --context "${K8S_CLUSTER_2_CONTEXT_NAME}" -n "${NAMESPACE}" delete service echoserver2-0

Implemente uma configuração de vários clusters.

Nesta etapa, você usa o plug-in kubectl mongodb para automatizar a configuração do cluster Kubernetes, necessária para que o operador Kubernetes gerencie cargas de trabalho em vários clusters Kubernetes.

Como você configura os clusters Kubernetes antes de instalar o Operador Kubernetes, quando você distribui o Operador Kubernetes para a operação de cluster multi-Kubernetes, toda a configuração multi-cluster necessária já está em vigor.

Conforme indicado na Visão geral, o Operador Kubernetes tem a configuração de três clusters de membros que você pode usar para implantar bancos de dados MongoDB Ops Manager MongoDB . O primeiro cluster também é usado como o cluster do operador, onde você instala o Kubernetes Operator e implementa os recursos personalizados.

1
kubectl mongodb multicluster setup \
2
  --central-cluster="${K8S_CLUSTER_0_CONTEXT_NAME}" \
3
  --member-clusters="${K8S_CLUSTER_0_CONTEXT_NAME},${K8S_CLUSTER_1_CONTEXT_NAME},${K8S_CLUSTER_2_CONTEXT_NAME}" \
4
  --member-cluster-namespace="${NAMESPACE}" \
5
  --central-cluster-namespace="${OPERATOR_NAMESPACE}" \
6
  --create-service-account-secrets \
7
  --install-database-roles=true \
8
  --image-pull-secrets=image-registries-secret

1
Ensured namespaces exist in all clusters.
2
creating central cluster roles in cluster: gke_scratch-kubernetes-team_europe-central2-a_k8s-mdb-0
3
creating member roles in cluster: gke_scratch-kubernetes-team_europe-central2-b_k8s-mdb-1
4
creating member roles in cluster: gke_scratch-kubernetes-team_europe-central2-c_k8s-mdb-2
5
Ensured ServiceAccounts and Roles.
6
Creating KubeConfig secret mongodb-operator/mongodb-enterprise-operator-multi-cluster-kubeconfig in cluster gke_scratch-kubernetes-team_europe-central2-a_k8s-mdb-0
7
Ensured database Roles in member clusters.
8
Creating Member list Configmap mongodb-operator/mongodb-enterprise-operator-member-list in cluster gke_scratch-kubernetes-team_europe-central2-a_k8s-mdb-0

Instale o Operador Kubernetes utilizando o gráfico Helm.

1. Adicione e atualize o repositório MongoDB Helm. Verifique se o cache local do Helm se refere à versão correta do Kubernetes Operator:

   1
   helm repo add mongodb https://mongodb.github.io/helm-charts
   2
   helm repo update mongodb
   3
   helm search repo "${OFFICIAL_OPERATOR_HELM_CHART}"

   VISUALIZAR SAÍDA

   1
   "mongodb" already exists with the same configuration, skipping
   2
   Hang tight while we grab the latest from your chart repositories...
   3
   ...Successfully got an update from the "mongodb" chart repository
   4
   Update Complete. ⎈Happy Helming!⎈
   5
   NAME                       	CHART VERSION	APP VERSION	DESCRIPTION                           
   6
   mongodb/enterprise-operator	1.27.0       	           	MongoDB Kubernetes Enterprise Operator

2. Instale o Operador Kubernetes no $OPERATOR_NAMESPACE, configurado para observar $NAMESPACE e gerenciar três clusters de membros do Kubernetes. Neste ponto do procedimento, ServiceAccounts e roles já estão implantados pelo kubectl mongodb plug-in . Portanto, os scripts a seguir ignoram a configuração e definem operator.createOperatorServiceAccount=false e operator.createResourcesServiceAccountsAndRoles=false. Os scripts especificam a configuração multiCluster.clusters para instruir o gráfico Helm a implantar o Operador Kubernetes no modo de vários clusters.

   1
   helm upgrade --install \
   2
     --debug \
   3
     --kube-context "${K8S_CLUSTER_0_CONTEXT_NAME}" \
   4
     mongodb-enterprise-operator-multi-cluster \
   5
     "${OPERATOR_HELM_CHART}" \
   6
     --namespace="${OPERATOR_NAMESPACE}" \
   7
     --set namespace="${OPERATOR_NAMESPACE}" \
   8
     --set operator.namespace="${OPERATOR_NAMESPACE}" \
   9
     --set operator.watchNamespace="${NAMESPACE}" \
   10
     --set operator.name=mongodb-enterprise-operator-multi-cluster \
   11
     --set operator.createOperatorServiceAccount=false \
   12
     --set operator.createResourcesServiceAccountsAndRoles=false \
   13
     --set "multiCluster.clusters={${K8S_CLUSTER_0_CONTEXT_NAME},${K8S_CLUSTER_1_CONTEXT_NAME},${K8S_CLUSTER_2_CONTEXT_NAME}}" \
   14
     --set "${OPERATOR_ADDITIONAL_HELM_VALUES:-"dummy=value"}"

   VISUALIZAR SAÍDA

   1
   Release "mongodb-enterprise-operator-multi-cluster" does not exist. Installing it now.
   2
   NAME: mongodb-enterprise-operator-multi-cluster
   3
   LAST DEPLOYED: Mon Aug 26 10:55:49 2024
   4
   NAMESPACE: mongodb-operator
   5
   STATUS: deployed
   6
   REVISION: 1
   7
   TEST SUITE: None
   8
   USER-SUPPLIED VALUES:
   9
   dummy: value
   10
   multiCluster:
   11
     clusters:
   12
     - gke_scratch-kubernetes-team_europe-central2-a_k8s-mdb-0
   13
     - gke_scratch-kubernetes-team_europe-central2-b_k8s-mdb-1
   14
     - gke_scratch-kubernetes-team_europe-central2-c_k8s-mdb-2
   15
   namespace: mongodb-operator
   16
   operator:
   17
     createOperatorServiceAccount: false
   18
     createResourcesServiceAccountsAndRoles: false
   19
     name: mongodb-enterprise-operator-multi-cluster
   20
     namespace: mongodb-operator
   21
     watchNamespace: mongodb
   22
   23
   COMPUTED VALUES:
   24
   agent:
   25
     name: mongodb-agent-ubi
   26
     version: 107.0.0.8502-1
   27
   database:
   28
     name: mongodb-enterprise-database-ubi
   29
     version: 1.27.0
   30
   dummy: value
   31
   initAppDb:
   32
     name: mongodb-enterprise-init-appdb-ubi
   33
     version: 1.27.0
   34
   initDatabase:
   35
     name: mongodb-enterprise-init-database-ubi
   36
     version: 1.27.0
   37
   initOpsManager:
   38
     name: mongodb-enterprise-init-ops-manager-ubi
   39
     version: 1.27.0
   40
   managedSecurityContext: false
   41
   mongodb:
   42
     appdbAssumeOldFormat: false
   43
     imageType: ubi8
   44
     name: mongodb-enterprise-server
   45
     repo: quay.io/mongodb
   46
   mongodbLegacyAppDb:
   47
     name: mongodb-enterprise-appdb-database-ubi
   48
     repo: quay.io/mongodb
   49
   multiCluster:
   50
     clusterClientTimeout: 10
   51
     clusters:
   52
     - gke_scratch-kubernetes-team_europe-central2-a_k8s-mdb-0
   53
     - gke_scratch-kubernetes-team_europe-central2-b_k8s-mdb-1
   54
     - gke_scratch-kubernetes-team_europe-central2-c_k8s-mdb-2
   55
     kubeConfigSecretName: mongodb-enterprise-operator-multi-cluster-kubeconfig
   56
     performFailOver: true
   57
   namespace: mongodb-operator
   58
   operator:
   59
     additionalArguments: []
   60
     affinity: {}
   61
     createOperatorServiceAccount: false
   62
     createResourcesServiceAccountsAndRoles: false
   63
     deployment_name: mongodb-enterprise-operator
   64
     env: prod
   65
     maxConcurrentReconciles: 1
   66
     mdbDefaultArchitecture: non-static
   67
     name: mongodb-enterprise-operator-multi-cluster
   68
     namespace: mongodb-operator
   69
     nodeSelector: {}
   70
     operator_image_name: mongodb-enterprise-operator-ubi
   71
     replicas: 1
   72
     resources:
   73
       limits:
   74
         cpu: 1100m
   75
         memory: 1Gi
   76
       requests:
   77
         cpu: 500m
   78
         memory: 200Mi
   79
     tolerations: []
   80
     vaultSecretBackend:
   81
       enabled: false
   82
       tlsSecretRef: ""
   83
     version: 1.27.0
   84
     watchNamespace: mongodb
   85
     watchedResources:
   86
     - mongodb
   87
     - opsmanagers
   88
     - mongodbusers
   89
     webhook:
   90
       installClusterRole: true
   91
       registerConfiguration: true
   92
   opsManager:
   93
     name: mongodb-enterprise-ops-manager-ubi
   94
   registry:
   95
     agent: quay.io/mongodb
   96
     appDb: quay.io/mongodb
   97
     database: quay.io/mongodb
   98
     imagePullSecrets: null
   99
     initAppDb: quay.io/mongodb
   100
     initDatabase: quay.io/mongodb
   101
     initOpsManager: quay.io/mongodb
   102
     operator: quay.io/mongodb
   103
     opsManager: quay.io/mongodb
   104
     pullPolicy: Always
   105
   subresourceEnabled: true
   106
   107
   HOOKS:
   108
   MANIFEST:
   109
   ---
   110
   # Source: enterprise-operator/templates/operator-roles.yaml
   111
   kind: ClusterRole
   112
   apiVersion: rbac.authorization.k8s.io/v1
   113
   metadata:
   114
     name: mongodb-enterprise-operator-mongodb-webhook
   115
   rules:
   116
     - apiGroups:
   117
         - "admissionregistration.k8s.io"
   118
       resources:
   119
         - validatingwebhookconfigurations
   120
       verbs:
   121
         - get
   122
         - create
   123
         - update
   124
         - delete
   125
     - apiGroups:
   126
         - ""
   127
       resources:
   128
         - services
   129
       verbs:
   130
         - get
   131
         - list
   132
         - watch
   133
         - create
   134
         - update
   135
         - delete
   136
   ---
   137
   # Source: enterprise-operator/templates/operator-roles.yaml
   138
   kind: ClusterRoleBinding
   139
   apiVersion: rbac.authorization.k8s.io/v1
   140
   metadata:
   141
     name: mongodb-enterprise-operator-multi-cluster-mongodb-operator-webhook-binding
   142
   roleRef:
   143
     apiGroup: rbac.authorization.k8s.io
   144
     kind: ClusterRole
   145
     name: mongodb-enterprise-operator-mongodb-webhook
   146
   subjects:
   147
     - kind: ServiceAccount
   148
       name: mongodb-enterprise-operator-multi-cluster
   149
       namespace: mongodb-operator
   150
   ---
   151
   # Source: enterprise-operator/templates/operator.yaml
   152
   apiVersion: apps/v1
   153
   kind: Deployment
   154
   metadata:
   155
     name: mongodb-enterprise-operator-multi-cluster
   156
     namespace: mongodb-operator
   157
   spec:
   158
     replicas: 1
   159
     selector:
   160
       matchLabels:
   161
         app.kubernetes.io/component: controller
   162
         app.kubernetes.io/name: mongodb-enterprise-operator-multi-cluster
   163
         app.kubernetes.io/instance: mongodb-enterprise-operator-multi-cluster
   164
     template:
   165
       metadata:
   166
         labels:
   167
           app.kubernetes.io/component: controller
   168
           app.kubernetes.io/name: mongodb-enterprise-operator-multi-cluster
   169
           app.kubernetes.io/instance: mongodb-enterprise-operator-multi-cluster
   170
       spec:
   171
         serviceAccountName: mongodb-enterprise-operator-multi-cluster
   172
         securityContext:
   173
           runAsNonRoot: true
   174
           runAsUser: 2000
   175
         containers:
   176
           - name: mongodb-enterprise-operator-multi-cluster
   177
             image: "quay.io/mongodb/mongodb-enterprise-operator-ubi:1.27.0"
   178
             imagePullPolicy: Always
   179
             args:
   180
               - -watch-resource=mongodb
   181
               - -watch-resource=opsmanagers
   182
               - -watch-resource=mongodbusers
   183
               - -watch-resource=mongodbmulticluster
   184
             command:
   185
               - /usr/local/bin/mongodb-enterprise-operator
   186
             volumeMounts:
   187
               - mountPath: /etc/config/kubeconfig
   188
                 name: kube-config-volume
   189
             resources:
   190
               limits:
   191
                 cpu: 1100m
   192
                 memory: 1Gi
   193
               requests:
   194
                 cpu: 500m
   195
                 memory: 200Mi
   196
             env:
   197
               - name: OPERATOR_ENV
   198
                 value: prod
   199
               - name: MDB_DEFAULT_ARCHITECTURE
   200
                 value: non-static
   201
               - name: WATCH_NAMESPACE
   202
                 value: "mongodb"
   203
               - name: NAMESPACE
   204
                 valueFrom:
   205
                   fieldRef:
   206
                     fieldPath: metadata.namespace
   207
               - name: CLUSTER_CLIENT_TIMEOUT
   208
                 value: "10"
   209
               - name: IMAGE_PULL_POLICY
   210
                 value: Always
   211
               # Database
   212
               - name: MONGODB_ENTERPRISE_DATABASE_IMAGE
   213
                 value: quay.io/mongodb/mongodb-enterprise-database-ubi
   214
               - name: INIT_DATABASE_IMAGE_REPOSITORY
   215
                 value: quay.io/mongodb/mongodb-enterprise-init-database-ubi
   216
               - name: INIT_DATABASE_VERSION
   217
                 value: 1.27.0
   218
               - name: DATABASE_VERSION
   219
                 value: 1.27.0
   220
               # Ops Manager
   221
               - name: OPS_MANAGER_IMAGE_REPOSITORY
   222
                 value: quay.io/mongodb/mongodb-enterprise-ops-manager-ubi
   223
               - name: INIT_OPS_MANAGER_IMAGE_REPOSITORY
   224
                 value: quay.io/mongodb/mongodb-enterprise-init-ops-manager-ubi
   225
               - name: INIT_OPS_MANAGER_VERSION
   226
                 value: 1.27.0
   227
               # AppDB
   228
               - name: INIT_APPDB_IMAGE_REPOSITORY
   229
                 value: quay.io/mongodb/mongodb-enterprise-init-appdb-ubi
   230
               - name: INIT_APPDB_VERSION
   231
                 value: 1.27.0
   232
               - name: OPS_MANAGER_IMAGE_PULL_POLICY
   233
                 value: Always
   234
               - name: AGENT_IMAGE
   235
                 value: "quay.io/mongodb/mongodb-agent-ubi:107.0.0.8502-1"
   236
               - name: MDB_AGENT_IMAGE_REPOSITORY
   237
                 value: "quay.io/mongodb/mongodb-agent-ubi"
   238
               - name: MONGODB_IMAGE
   239
                 value: mongodb-enterprise-server
   240
               - name: MONGODB_REPO_URL
   241
                 value: quay.io/mongodb
   242
               - name: MDB_IMAGE_TYPE
   243
                 value: ubi8
   244
               - name: PERFORM_FAILOVER
   245
                 value: 'true'
   246
               - name: MDB_MAX_CONCURRENT_RECONCILES
   247
                 value: "1"
   248
         volumes:
   249
           - name: kube-config-volume
   250
             secret:
   251
               defaultMode: 420
   252
               secretName: mongodb-enterprise-operator-multi-cluster-kubeconfig

3. Verifique o sistema do Kubernetes Operator:

   1
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${OPERATOR_NAMESPACE}" rollout status deployment/mongodb-enterprise-operator-multi-cluster
   2
   echo "Operator deployment in ${OPERATOR_NAMESPACE} namespace"
   3
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${OPERATOR_NAMESPACE}" get deployments
   4
   echo; echo "Operator pod in ${OPERATOR_NAMESPACE} namespace"
   5
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${OPERATOR_NAMESPACE}" get pods

   VISUALIZAR SAÍDA

   1
   Waiting for deployment "mongodb-enterprise-operator-multi-cluster" rollout to finish: 0 of 1 updated replicas are available...
   2
   deployment "mongodb-enterprise-operator-multi-cluster" successfully rolled out
   3
   Operator deployment in mongodb-operator namespace
   4
   NAME                                        READY   UP-TO-DATE   AVAILABLE   AGE
   5
   mongodb-enterprise-operator-multi-cluster   1/1     1            1           10s
   6
   7
   Operator pod in mongodb-operator namespace
   8
   NAME                                                         READY   STATUS    RESTARTS     AGE
   9
   mongodb-enterprise-operator-multi-cluster-54d786b796-7l5ct   2/2     Running   1 (4s ago)   10s

Preparar certificados TLS.

Nesta etapa, você habilita o TLS para o banco de dados do aplicativo e o aplicativo MongoDB Ops Manager . Se você não quiser usar o TLS, remova os seguintes campos dos recursos MongoDBOpsManager :

• spec.security.certsSecretPrefix

• spec.security.tls.ca

• spec.applicationDatabase.security.certsSecretPrefix

• spec.applicationDatabase.security.tls.ca

1. Opcional. Gerar chaves e certificados:

   Utilize a ferramenta de linha de comando openssl para gerar CAs e certificados autoassinados para fins de teste.

   1
   mkdir certs || true
   2
   3
   cat <<EOF >certs/ca.cnf
   4
   [ req ]
   5
   default_bits       = 2048
   6
   prompt             = no
   7
   default_md         = sha256
   8
   distinguished_name = dn
   9
   x509_extensions    = v3_ca
   10
   11
   [ dn ]
   12
   C=US
   13
   ST=New York
   14
   L=New York
   15
   O=Example Company
   16
   OU=IT Department
   17
   CN=exampleCA
   18
   19
   [ v3_ca ]
   20
   basicConstraints = CA:TRUE
   21
   keyUsage = critical, keyCertSign, cRLSign
   22
   subjectKeyIdentifier = hash
   23
   authorityKeyIdentifier = keyid:always,issuer
   24
   EOF
   25
   26
   cat <<EOF >certs/om.cnf
   27
   [ req ]
   28
   default_bits       = 2048
   29
   prompt             = no
   30
   default_md         = sha256
   31
   distinguished_name = dn
   32
   req_extensions     = req_ext
   33
   34
   [ dn ]
   35
   C=US
   36
   ST=New York
   37
   L=New York
   38
   O=Example Company
   39
   OU=IT Department
   40
   CN=${OPS_MANAGER_EXTERNAL_DOMAIN}
   41
   42
   [ req_ext ]
   43
   subjectAltName = @alt_names
   44
   keyUsage = critical, digitalSignature, keyEncipherment
   45
   extendedKeyUsage = serverAuth, clientAuth
   46
   47
   [ alt_names ]
   48
   DNS.1 = ${OPS_MANAGER_EXTERNAL_DOMAIN}
   49
   DNS.2 = om-svc.${NAMESPACE}.svc.cluster.local
   50
   EOF
   51
   52
   cat <<EOF >certs/appdb.cnf
   53
   [ req ]
   54
   default_bits       = 2048
   55
   prompt             = no
   56
   default_md         = sha256
   57
   distinguished_name = dn
   58
   req_extensions     = req_ext
   59
   60
   [ dn ]
   61
   C=US
   62
   ST=New York
   63
   L=New York
   64
   O=Example Company
   65
   OU=IT Department
   66
   CN=AppDB
   67
   68
   [ req_ext ]
   69
   subjectAltName = @alt_names
   70
   keyUsage = critical, digitalSignature, keyEncipherment
   71
   extendedKeyUsage = serverAuth, clientAuth
   72
   73
   [ alt_names ]
   74
   # multi-cluster mongod hostnames from service for each pod
   75
   DNS.1 = *.${NAMESPACE}.svc.cluster.local
   76
   # single-cluster mongod hostnames from headless service
   77
   DNS.2 = *.om-db-svc.${NAMESPACE}.svc.cluster.local
   78
   EOF
   79
   80
   # generate CA keypair and certificate
   81
   openssl genrsa -out certs/ca.key 2048
   82
   openssl req -x509 -new -nodes -key certs/ca.key -days 1024 -out certs/ca.crt -config certs/ca.cnf
   83
   84
   # generate OpsManager's keypair and certificate
   85
   openssl genrsa -out certs/om.key 2048
   86
   openssl req -new -key certs/om.key -out certs/om.csr -config certs/om.cnf
   87
   88
   # generate AppDB's keypair and certificate
   89
   openssl genrsa -out certs/appdb.key 2048
   90
   openssl req -new -key certs/appdb.key -out certs/appdb.csr -config certs/appdb.cnf
   91
   92
   # generate certificates signed by CA for OpsManager and AppDB
   93
   openssl x509 -req -in certs/om.csr -CA certs/ca.crt -CAkey certs/ca.key -CAcreateserial -out certs/om.crt -days 365 -sha256 -extfile certs/om.cnf -extensions req_ext
   94
   openssl x509 -req -in certs/appdb.csr -CA certs/ca.crt -CAkey certs/ca.key -CAcreateserial -out certs/appdb.crt -days 365 -sha256 -extfile certs/appdb.cnf -extensions req_ext

2. Crie segredos com chaves TLS:

   Se você preferir usar suas próprias chaves e certificados, pule a etapa de geração anterior e coloque as chaves e os certificados nos seguintes arquivos:

   • certs/ca.crt - Certificados CA. Eles não são necessários ao usar certificados confiáveis.

   • certs/appdb.key - chave privada para o banco de dados de aplicativos.

   • certs/appdb.crt - certificado para o banco de dados de aplicativos.

   • certs/om.key - chave privada para o MongoDB Ops Manager.

   • certs/om.crt - certificado para MongoDB Ops Manager.

   1
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" create secret tls cert-prefix-om-cert \
   2
     --cert=certs/om.crt \
   3
     --key=certs/om.key
   4
   5
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" create secret tls cert-prefix-om-db-cert \
   6
     --cert=certs/appdb.crt \
   7
     --key=certs/appdb.key
   8
   9
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" create configmap om-cert-ca --from-file="mms-ca.crt=certs/ca.crt"
   10
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" create configmap appdb-cert-ca --from-file="ca-pem=certs/ca.crt"

Instale o Ops Manager.

Neste ponto, você preparou o ambiente e o Operador Kubernetes para implantar o recurso MongoDB Ops Manager .

1. Crie as credenciais necessárias para o usuário administrador do MongoDB Ops Manager que o operador Kubernetes criará após implantar a instância do aplicativo MongoDB Ops Manager :

   1
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" --namespace "${NAMESPACE}" create secret generic om-admin-user-credentials \
   2
     --from-literal=Username="admin" \
   3
     --from-literal=Password="Passw0rd@" \
   4
     --from-literal=FirstName="Jane" \
   5
     --from-literal=LastName="Doe"

2. Implemente o recurso personalizado MongoDBOpsManager mais simples possível (com TLS habilitado) em um cluster de único membro, que também é conhecido como o cluster do operador.

   Essa implantação é quase a mesma que para o modo de cluster único, mas com spec.topology e spec.applicationDatabase.topology configurados para MultiCluster.

   A implantação dessa forma mostra que um único sistema de cluster Kubernetes é um caso especial de um sistema de cluster multi-Kubernetes em um único cluster de membro do Kubernetes. Você pode começar a implantar o Aplicativo MongoDB Ops Manager e o Banco de Dados de Aplicativos em quantos clusters Kubernetes necessários desde o início e não precisa começar com a implantação com apenas um cluster Kubernetes de nó único.

   Neste ponto, você preparou a implantação do MongoDB Ops Manager para abranger mais de um cluster Kubernetes , o que você fará mais tarde neste procedimento.

   1
   kubectl apply --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" -f - <<EOF
   2
   apiVersion: mongodb.com/v1
   3
   kind: MongoDBOpsManager
   4
   metadata:
   5
     name: om
   6
   spec:
   7
     topology: MultiCluster
   8
     version: "${OPS_MANAGER_VERSION}"
   9
     adminCredentials: om-admin-user-credentials
   10
     security:
   11
       certsSecretPrefix: cert-prefix
   12
       tls:
   13
         ca: om-cert-ca
   14
     clusterSpecList:
   15
       - clusterName: "${K8S_CLUSTER_0_CONTEXT_NAME}"
   16
         members: 1
   17
     applicationDatabase:
   18
       version: "${APPDB_VERSION}"
   19
       topology: MultiCluster
   20
       security:
   21
         certsSecretPrefix: cert-prefix
   22
         tls:
   23
           ca: appdb-cert-ca
   24
       clusterSpecList:
   25
         - clusterName: "${K8S_CLUSTER_0_CONTEXT_NAME}"
   26
           members: 3
   27
     backup:
   28
       enabled: false
   29
   EOF

3. Aguarde o operador Kubernetes pegar o trabalho e alcançar o estado status.applicationDatabase.phase=Pending . Aguarde a conclusão das implantações do banco de dados de aplicativos e do MongoDB Ops Manager .

   1
   echo "Waiting for Application Database to reach Pending phase..."
   2
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" wait --for=jsonpath='{.status.applicationDatabase.phase}'=Pending opsmanager/om --timeout=30s

   VISUALIZAR SAÍDA

   1
   Waiting for Application Database to reach Pending phase...
   2
   mongodbopsmanager.mongodb.com/om condition met

4. Implemente MongoDB Ops Manager. O Operador Kubernetes implementa o MongoDB Ops Manager executando as etapas a seguir. Ele:

   • Distribui os nós do conjunto de réplicas do banco de dados de aplicativos e aguarda que os processos do MongoDB no conjunto de réplicas comecem a ser executados.

   • Implementa a instância do Aplicativo MongoDB Ops Manager com a connection string do Banco de Dados do Aplicativo e aguarda que ela fique pronta.

   • Adiciona os containers do MongoDB Agent de monitoramento ao Pod de cada banco de dados de aplicativos.

   • Aguarde que o aplicativo MongoDB Ops Manager e os pods do banco de dados de aplicativos comecem a ser executados.

   1
   echo "Waiting for Application Database to reach Running phase..."
   2
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" wait --for=jsonpath='{.status.applicationDatabase.phase}'=Running opsmanager/om --timeout=900s
   3
   echo; echo "Waiting for Ops Manager to reach Running phase..."
   4
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" wait --for=jsonpath='{.status.opsManager.phase}'=Running opsmanager/om --timeout=900s
   5
   echo; echo "Waiting for Application Database to reach Pending phase (enabling monitoring)..."
   6
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" wait --for=jsonpath='{.status.applicationDatabase.phase}'=Running opsmanager/om --timeout=900s
   7
   echo "Waiting for Application Database to reach Running phase..."
   8
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" wait --for=jsonpath='{.status.applicationDatabase.phase}'=Running opsmanager/om --timeout=900s
   9
   echo; echo "Waiting for Ops Manager to reach Running phase..."
   10
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" wait --for=jsonpath='{.status.opsManager.phase}'=Running opsmanager/om --timeout=900s
   11
   echo; echo "MongoDBOpsManager resource"
   12
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" get opsmanager/om
   13
   echo; echo "Pods running in cluster ${K8S_CLUSTER_0_CONTEXT_NAME}"
   14
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" get pods
   15
   echo; echo "Pods running in cluster ${K8S_CLUSTER_1_CONTEXT_NAME}"
   16
   kubectl --context "${K8S_CLUSTER_1_CONTEXT_NAME}" -n "${NAMESPACE}" get pods

   VISUALIZAR SAÍDA

   1
   Waiting for Application Database to reach Running phase...
   2
   mongodbopsmanager.mongodb.com/om condition met
   3
   4
   Waiting for Ops Manager to reach Running phase...
   5
   mongodbopsmanager.mongodb.com/om condition met
   6
   7
   Waiting for Application Database to reach Pending phase (enabling monitoring)...
   8
   mongodbopsmanager.mongodb.com/om condition met
   9
   Waiting for Application Database to reach Running phase...
   10
   mongodbopsmanager.mongodb.com/om condition met
   11
   12
   Waiting for Ops Manager to reach Running phase...
   13
   mongodbopsmanager.mongodb.com/om condition met
   14
   15
   MongoDBOpsManager resource
   16
   NAME   REPLICAS   VERSION   STATE (OPSMANAGER)   STATE (APPDB)   STATE (BACKUP)   AGE   WARNINGS
   17
   om                7.0.4     Running              Running         Disabled         13m   
   18
   19
   Pods running in cluster gke_scratch-kubernetes-team_europe-central2-a_k8s-mdb-0
   20
   NAME        READY   STATUS    RESTARTS   AGE
   21
   om-0-0      2/2     Running   0          10m
   22
   om-db-0-0   4/4     Running   0          69s
   23
   om-db-0-1   4/4     Running   0          2m12s
   24
   om-db-0-2   4/4     Running   0          3m32s
   25
   26
   Pods running in cluster gke_scratch-kubernetes-team_europe-central2-b_k8s-mdb-1

   Agora que você distribuiu um cluster de um único membro em um modo de vários clusters, é possível reconfigurar o sistema para abranger mais de um cluster do Kubernetes.

5. No segundo cluster de membros, implemente dois membros adicionais do conjunto de réplicas do Banco de Dados de Aplicativo e uma instância adicional do Aplicativo MongoDB Ops Manager :

   1
   kubectl apply --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" -f - <<EOF
   2
   apiVersion: mongodb.com/v1
   3
   kind: MongoDBOpsManager
   4
   metadata:
   5
     name: om
   6
   spec:
   7
     topology: MultiCluster
   8
     version: "${OPS_MANAGER_VERSION}"
   9
     adminCredentials: om-admin-user-credentials
   10
     security:
   11
       certsSecretPrefix: cert-prefix
   12
       tls:
   13
         ca: om-cert-ca
   14
     clusterSpecList:
   15
       - clusterName: "${K8S_CLUSTER_0_CONTEXT_NAME}"
   16
         members: 1
   17
       - clusterName: "${K8S_CLUSTER_1_CONTEXT_NAME}"
   18
         members: 1
   19
     applicationDatabase:
   20
       version: "${APPDB_VERSION}"
   21
       topology: MultiCluster
   22
       security:
   23
         certsSecretPrefix: cert-prefix
   24
         tls:
   25
           ca: appdb-cert-ca
   26
       clusterSpecList:
   27
         - clusterName: "${K8S_CLUSTER_0_CONTEXT_NAME}"
   28
           members: 3
   29
         - clusterName: "${K8S_CLUSTER_1_CONTEXT_NAME}"
   30
           members: 2
   31
     backup:
   32
       enabled: false
   33
   EOF

6. Aguarde o Operador Kubernetes pegar o trabalho (fase pendente):

   1
   echo "Waiting for Application Database to reach Pending phase..."
   2
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" wait --for=jsonpath='{.status.applicationDatabase.phase}'=Pending opsmanager/om --timeout=30s

   VISUALIZAR SAÍDA

   1
   Waiting for Application Database to reach Pending phase...
   2
   mongodbopsmanager.mongodb.com/om condition met

7. Aguarde o operador Kubernetes terminar de implantar todos os componentes:

   1
   echo "Waiting for Application Database to reach Running phase..."
   2
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" wait --for=jsonpath='{.status.applicationDatabase.phase}'=Running opsmanager/om --timeout=600s
   3
   echo; echo "Waiting for Ops Manager to reach Running phase..."
   4
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" wait --for=jsonpath='{.status.opsManager.phase}'=Running opsmanager/om --timeout=600s
   5
   echo; echo "MongoDBOpsManager resource"
   6
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" get opsmanager/om
   7
   echo; echo "Pods running in cluster ${K8S_CLUSTER_0_CONTEXT_NAME}"
   8
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" get pods
   9
   echo; echo "Pods running in cluster ${K8S_CLUSTER_1_CONTEXT_NAME}"
   10
   kubectl --context "${K8S_CLUSTER_1_CONTEXT_NAME}" -n "${NAMESPACE}" get pods

   VISUALIZAR SAÍDA

   1
   Waiting for Application Database to reach Running phase...
   2
   mongodbopsmanager.mongodb.com/om condition met
   3
   4
   Waiting for Ops Manager to reach Running phase...
   5
   mongodbopsmanager.mongodb.com/om condition met
   6
   7
   MongoDBOpsManager resource
   8
   NAME   REPLICAS   VERSION   STATE (OPSMANAGER)   STATE (APPDB)   STATE (BACKUP)   AGE   WARNINGS
   9
   om                7.0.4     Running              Running         Disabled         20m   
   10
   11
   Pods running in cluster gke_scratch-kubernetes-team_europe-central2-a_k8s-mdb-0
   12
   NAME        READY   STATUS    RESTARTS   AGE
   13
   om-0-0      2/2     Running   0          2m56s
   14
   om-db-0-0   4/4     Running   0          7m48s
   15
   om-db-0-1   4/4     Running   0          8m51s
   16
   om-db-0-2   4/4     Running   0          10m
   17
   18
   Pods running in cluster gke_scratch-kubernetes-team_europe-central2-b_k8s-mdb-1
   19
   NAME        READY   STATUS    RESTARTS   AGE
   20
   om-1-0      2/2     Running   0          3m27s
   21
   om-db-1-0   4/4     Running   0          6m32s
   22
   om-db-1-1   4/4     Running   0          5m5s

Habilitar backup.

Em um sistema de cluster multi-Kubernetes do Aplicativo de MongoDB Ops Manager , você pode configurar somente o armazenamento de backup baseado em S3 . Este procedimento refere-se ao S3_* definido em env_variables.sh.

1. Opcional. Instalar o operador MinIO.

   Este procedimento implementa armazenamento compatível com S para3 seus backups usando o Operador MinIO. Você pode pular esta etapa se tiver o Amazon Web Services S3 ou outros buckets compatíveis com o S3disponíveis. Ajuste as variáveis S3_* adequadamente em env_variables.sh neste caso.

   1
   kubectl kustomize "github.com/minio/operator/resources/?timeout=120&ref=v5.0.12" | \
   2
     kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" apply -f -
   3
   4
   kubectl kustomize "github.com/minio/operator/examples/kustomization/tenant-tiny?timeout=120&ref=v5.0.12" | \
   5
     kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" apply -f -
   6
   7
   # add two buckets to the tenant config
   8
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "tenant-tiny" patch tenant/myminio \
   9
     --type='json' \
   10
     -p="[{\"op\": \"add\", \"path\": \"/spec/buckets\", \"value\": [{\"name\": \"${S3_OPLOG_BUCKET_NAME}\"}, {\"name\": \"${S3_SNAPSHOT_BUCKET_NAME}\"}]}]"

2. Antes de configurar e ativar o backup, crie segredos:

   • s3-access-secret - contém credenciais S3 .

   • s3-ca-cert - contém um certificado CA que emitiu o certificado do servidor do bucket. No caso da implantação do MinIO de amostra usada neste procedimento, o certificado padrão da Kubernetes Root CA é usado para assinar o certificado. Como não é um certificado de CA confiável publicamente, você deve fornecê-lo para que o MongoDB Ops Manager possa confiar na conexão.

   Se você utilizar certificados publicamente confiáveis, você poderá pular esta etapa e remover os valores das configurações do spec.backup.s3Stores.customCertificateSecretRefs e spec.backup.s3OpLogStores.customCertificateSecretRefs .

   1
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" create secret generic s3-access-secret \
   2
     --from-literal=accessKey="${S3_ACCESS_KEY}" \
   3
     --from-literal=secretKey="${S3_SECRET_KEY}"
   4
   5
   # minio TLS secrets are signed with the default k8s root CA
   6
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" create secret generic s3-ca-cert \
   7
     --from-literal=ca.crt="$(kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n kube-system get configmap kube-root-ca.crt -o jsonpath="{.data.ca\.crt}")"

Redistribua o MongoDB Ops Manager com o backup ativado.

1. O Kubernetes Operator pode configurar e distribuir todos os componentes, o aplicativo MongoDB Ops Manager , as instâncias do Backup Daemon e os nós do conjunto de réplicas do aplicativo de banco de dados em qualquer combinação em qualquer cluster de membros para os quais você configure o Kubernetes Operator.

   Para ilustrar a flexibilidade da configuração de implantação de cluster multi-Kubernetes, implemente apenas uma instância do Backup Daemon no cluster do terceiro membro e especifique zero membros do Backup Daemon para o primeiro e o segundo cluster.

   1
   kubectl apply --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" -f - <<EOF
   2
   apiVersion: mongodb.com/v1
   3
   kind: MongoDBOpsManager
   4
   metadata:
   5
     name: om
   6
   spec:
   7
     topology: MultiCluster
   8
     version: "${OPS_MANAGER_VERSION}"
   9
     adminCredentials: om-admin-user-credentials
   10
     security:
   11
       certsSecretPrefix: cert-prefix
   12
       tls:
   13
         ca: om-cert-ca
   14
     clusterSpecList:
   15
       - clusterName: "${K8S_CLUSTER_0_CONTEXT_NAME}"
   16
         members: 1
   17
         backup:
   18
           members: 0
   19
       - clusterName: "${K8S_CLUSTER_1_CONTEXT_NAME}"
   20
         members: 1
   21
         backup:
   22
           members: 0
   23
       - clusterName: "${K8S_CLUSTER_2_CONTEXT_NAME}"
   24
         members: 0
   25
         backup:
   26
           members: 1
   27
     configuration: # to avoid configuration wizard on first login
   28
         mms.adminEmailAddr: email@example.com
   29
         mms.fromEmailAddr: email@example.com
   30
         mms.ignoreInitialUiSetup: "true"
   31
         mms.mail.hostname: smtp@example.com
   32
         mms.mail.port: "465"
   33
         mms.mail.ssl: "true"
   34
         mms.mail.transport: smtp
   35
         mms.minimumTLSVersion: TLSv1.2
   36
         mms.replyToEmailAddr: email@example.com
   37
     applicationDatabase:
   38
       version: "${APPDB_VERSION}"
   39
       topology: MultiCluster
   40
       security:
   41
         certsSecretPrefix: cert-prefix
   42
         tls:
   43
           ca: appdb-cert-ca
   44
       clusterSpecList:
   45
         - clusterName: "${K8S_CLUSTER_0_CONTEXT_NAME}"
   46
           members: 3
   47
         - clusterName: "${K8S_CLUSTER_1_CONTEXT_NAME}"
   48
           members: 2
   49
     backup:
   50
       enabled: true
   51
       s3Stores:
   52
         - name: my-s3-block-store
   53
           s3SecretRef:
   54
             name: "s3-access-secret"
   55
           pathStyleAccessEnabled: true
   56
           s3BucketEndpoint: "${S3_ENDPOINT}"
   57
           s3BucketName: "${S3_SNAPSHOT_BUCKET_NAME}"
   58
           customCertificateSecretRefs:
   59
             - name: s3-ca-cert
   60
               key: ca.crt
   61
       s3OpLogStores:
   62
         - name: my-s3-oplog-store
   63
           s3SecretRef:
   64
             name: "s3-access-secret"
   65
           s3BucketEndpoint: "${S3_ENDPOINT}"
   66
           s3BucketName: "${S3_OPLOG_BUCKET_NAME}"
   67
           pathStyleAccessEnabled: true
   68
           customCertificateSecretRefs:
   69
             - name: s3-ca-cert
   70
               key: ca.crt
   71
   EOF

2. Aguarde até que o operador Kubernetes termine sua configuração:

   1
   echo; echo "Waiting for Backup to reach Running phase..."
   2
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" wait --for=jsonpath='{.status.backup.phase}'=Running opsmanager/om --timeout=1200s
   3
   echo "Waiting for Application Database to reach Running phase..."
   4
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" wait --for=jsonpath='{.status.applicationDatabase.phase}'=Running opsmanager/om --timeout=600s
   5
   echo; echo "Waiting for Ops Manager to reach Running phase..."
   6
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" wait --for=jsonpath='{.status.opsManager.phase}'=Running opsmanager/om --timeout=600s
   7
   echo; echo "MongoDBOpsManager resource"
   8
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" get opsmanager/om
   9
   echo; echo "Pods running in cluster ${K8S_CLUSTER_0_CONTEXT_NAME}"
   10
   kubectl --context "${K8S_CLUSTER_0_CONTEXT_NAME}" -n "${NAMESPACE}" get pods
   11
   echo; echo "Pods running in cluster ${K8S_CLUSTER_1_CONTEXT_NAME}"
   12
   kubectl --context "${K8S_CLUSTER_1_CONTEXT_NAME}" -n "${NAMESPACE}" get pods
   13
   echo; echo "Pods running in cluster ${K8S_CLUSTER_2_CONTEXT_NAME}"
   14
   kubectl --context "${K8S_CLUSTER_2_CONTEXT_NAME}" -n "${NAMESPACE}" get pods

   VISUALIZAR SAÍDA

   1
   Waiting for Backup to reach Running phase...
   2
   mongodbopsmanager.mongodb.com/om condition met
   3
   Waiting for Application Database to reach Running phase...
   4
   mongodbopsmanager.mongodb.com/om condition met
   5
   6
   Waiting for Ops Manager to reach Running phase...
   7
   mongodbopsmanager.mongodb.com/om condition met
   8
   9
   MongoDBOpsManager resource
   10
   NAME   REPLICAS   VERSION   STATE (OPSMANAGER)   STATE (APPDB)   STATE (BACKUP)   AGE   WARNINGS
   11
   om                7.0.4     Running              Running         Running          26m   
   12
   13
   Pods running in cluster gke_scratch-kubernetes-team_europe-central2-a_k8s-mdb-0
   14
   NAME        READY   STATUS    RESTARTS   AGE
   15
   om-0-0      2/2     Running   0          5m11s
   16
   om-db-0-0   4/4     Running   0          13m
   17
   om-db-0-1   4/4     Running   0          14m
   18
   om-db-0-2   4/4     Running   0          16m
   19
   20
   Pods running in cluster gke_scratch-kubernetes-team_europe-central2-b_k8s-mdb-1
   21
   NAME        READY   STATUS    RESTARTS   AGE
   22
   om-1-0      2/2     Running   0          5m12s
   23
   om-db-1-0   4/4     Running   0          12m
   24
   om-db-1-1   4/4     Running   0          11m
   25
   26
   Pods running in cluster gke_scratch-kubernetes-team_europe-central2-c_k8s-mdb-2
   27
   NAME                   READY   STATUS    RESTARTS   AGE
   28
   om-2-backup-daemon-0   2/2     Running   0          3m8s

Opcional. Excluir o GKE (Google Kubernetes Engine) clusters e todos os seus recursos associados (VMs).

Execute o roteiro a seguir para excluir os clusters GKE e limpar seu ambiente.

1
yes | gcloud container clusters delete "${K8S_CLUSTER_0}" --zone="${K8S_CLUSTER_0_ZONE}" &
2
yes | gcloud container clusters delete "${K8S_CLUSTER_1}" --zone="${K8S_CLUSTER_1_ZONE}" &
3
yes | gcloud container clusters delete "${K8S_CLUSTER_2}" --zone="${K8S_CLUSTER_2_ZONE}" &
4
wait