Menyiapkan server log pusat

Halaman ini menjelaskan cara menyiapkan server log pusat untuk perangkat perlengkapan air-gapped Google Distributed Cloud (GDC) melalui organisasi pusat data air-gapped Google Distributed Cloud.

Untuk membuat lokasi logging pusat, perlengkapan GDC harus memiliki komponen berikut di organisasi pusat data GDC:

  • project unik
  • bucket untuk log audit
  • bucket untuk log operasional

Membuat project

Langkah-langkah berikut harus dilakukan di organisasi pusat data GDC tempat log akan diekspor.

  1. Setel KUBECONFIG ke Org Management API:

    export KUBECONFIG=ORG_MANAGEMENT_API_KUBECONFIG_PATH
    
  2. Untuk mendapatkan izin yang diperlukan untuk mengekspor log, minta Admin IAM Organisasi Anda untuk memberi Anda peran ClusterRole Project Creator (ClusterRole project-creator). Untuk mengetahui informasi selengkapnya tentang peran ini, lihat Siapkan izin IAM.

  3. Terapkan resource kustom project untuk membuat project unik bagi appliance GDC yang akan mengekspor log:

    kubectl apply -f - <<EOF
    apiVersion: resourcemanager.gdc.goog/v1
    kind: Project
    metadata:
      namespace: platform
      name: APPLIANCE_PROJECT_NAME
      labels:                                                                                                                                                                                                                                                                   
        object.gdc.goog/tenant-category: user                                                                                                                                   
    EOF
    
  4. Verifikasi apakah project baru tersedia di appliance GDC:

    kubectl get namespace APPLIANCE_PROJECT_NAME
    
  5. Tautkan project baru Anda ke akun penagihan. Untuk melacak biaya resource project, Anda harus memiliki akun penagihan terkait yang ditautkan ke project Anda.

  6. Untuk mendapatkan izin yang diperlukan untuk mengekspor log, minta Admin IAM Organisasi Anda untuk memberi Anda peran Project IAM Admin (project-iam-admin) di namespace APPLIANCE_PROJECT_NAME.

Membuat bucket

Langkah-langkah berikut harus dilakukan oleh Administrator Platform (PA) di organisasi pusat data GDC tempat log akan diekspor.

  1. Setel KUBECONFIG ke Org Management API:

    export KUBECONFIG=ORG_MANAGEMENT_API_KUBECONFIG_PATH
    
  2. Untuk mendapatkan izin yang diperlukan untuk mengekspor log, minta Admin IAM Organisasi Anda untuk memberi Anda peran Project Bucket Admin (project-bucket-admin) di namespace APPLIANCE_PROJECT_NAME.

  3. Terapkan resource kustom bucket untuk membuat bucket:

    apiVersion: object.gdc.goog/v1
    kind: Bucket
    metadata:
      name: BUCKET_NAME
      namespace: APPLIANCE_PROJECT_NAME
      labels:                                                                                                                                                                     
        object.gdc.goog/bucket-type: normal                                                                                                                                       
        object.gdc.goog/encryption-version: v2                                                                                                                                    
        object.gdc.goog/tenant-category: user
    spec:                                                                                                                                                                         
      description: Bucket for storing appliance xyz audit logs                                                                                                                     
      location: zone1                                                                                                                                                             
      storageClass: Standard
    
  4. Setelah bucket dibuat, jalankan perintah berikut untuk mengonfirmasi dan memeriksa detail bucket:

    kubectl describe buckets BUCKET_NAME -n APPLIANCE_PROJECT_NAME
    
  5. Buat ProjectServiceAccount untuk mengakses objek dalam bucket.

    kubectl apply -f - <<EOF
    ---
    apiVersion: resourcemanager.gdc.goog/v1
    kind: ProjectServiceAccount
    metadata:
      name: BUCKET_NAME-read-write-sa
      namespace: APPLIANCE_PROJECT_NAME
    spec: {}
    EOF
    
  6. Verifikasi bahwa ProjectServiceAccount telah disebarkan:

    kubectl get projectserviceaccount BUCKET_NAME-read-write-sa -n APPLIANCE_PROJECT_NAME -o json | jq '.status'
    
  7. Pastikan izin ServiceAccount dengan read dan write ditambahkan ke bucket.

    kubectl apply -f - <<EOF
    ---
    apiVersion: rbac.authorization.k8s.io/v1
    kind: Role
    metadata:
      name: BUCKET_NAME-read-write-role
      namespace: APPLIANCE_PROJECT_NAME
    rules:
    - apiGroups:
      - object.gdc.goog
      resourceNames:
      - BUCKET_NAME
      resources:
      - buckets
      verbs:
      - read-object
      - write-object
    ---
    apiVersion: rbac.authorization.k8s.io/v1
    kind: RoleBinding
    metadata:
      name: BUCKET_NAME-read-write-rolebinding
      namespace: APPLIANCE_PROJECT_NAME
    roleRef:
      apiGroup: rbac.authorization.k8s.io
      kind: Role
      name: BUCKET_NAME-read-write-role
    subjects:
    - kind: ServiceAccount
      name: BUCKET_NAME-read-write-sa
      namespace: APPLIANCE_PROJECT_NAME
    EOF
    
  8. Dapatkan secret yang berisi kredensial akses untuk bucket:

    kubectl get secret -n APPLIANCE_PROJECT_NAME -o json| jq --arg jq_src BUCKET_NAME-read-write-sa '.items[].metadata|select(.annotations."object.gdc.goog/subject"==$jq_src)|.name'
    

    Output harus terlihat seperti contoh berikut, dengan nama rahasia bucket ditampilkan:

    "object-storage-key-sysstd-sa-olxv4dnwrwul4bshu37ikebgovrnvl773owaw3arx225rfi56swa"
    
  9. Mengekspor nilai ke variabel:

    export BUCKET_RW_SECRET_NAME=BUCKET_RW_SECRET_NAME
    
  10. Dapatkan ID kunci untuk akses bucket:

    kubectl get secret $BUCKET_RW_SECRET_NAME -n appliance-xyz -o json | jq -r '.data."access-key-id"' | base64 -di
    

    Output harus terlihat seperti contoh berikut:

    PCEW2HU47Y8ACUWQO4SK
    
  11. Dapatkan kunci akses rahasia untuk bucket:

    kubectl get secret $BUCKET_RW_SECRET_NAME -n appliance-xyz -o json | jq -r '.data."secret-access-key"' | base64 -di
    

    Output harus terlihat seperti contoh berikut:

    TzGdAbgp4h2i5UeiYa9k09rNPFQ2tkYADs67+65E
    
  12. Dapatkan endpoint bucket:

    kubectl get bucket BUCKET_NAME -n APPLIANCE_PROJECT_NAME -o json | jq '.status.endpoint'
    

    Output harus terlihat seperti contoh berikut:

    https://objectstorage.org-1.zone1.google.gdch.test
    
  13. Dapatkan nama bucket yang sepenuhnya memenuhi syarat:

    kubectl get bucket BUCKET_NAME -n APPLIANCE_PROJECT_NAME -o json | jq '.status.fullyQualifiedName'
    

    Output harus terlihat seperti contoh berikut:

    aaaoa9a-logs-bucket
    

Mentransfer data dari GDC

Ikuti Mengekspor log ke bucket jarak jauh ke bucket jarak jauh untuk mentransfer log dari appliance GDC ke bucket yang dibuat sebelumnya di pusat data air-gapped GDC menggunakan endpoint bucket, nama yang sepenuhnya memenuhi syarat, ID kunci akses, dan kunci akses rahasia.

Menyiapkan Loki dan Grafana di pusat data dengan air gap Google Distributed Cloud

Langkah-langkah berikut harus dilakukan oleh Operator Infrastruktur (IO) di organisasi pusat data air-gapped GDC tempat log telah diekspor.

Mendapatkan peran IAM

Untuk mendapatkan izin yang diperlukan untuk mengekspor log, minta Admin IAM Organisasi Anda untuk memberi Anda peran Logs Restore Admin (logs-restore-admin) di namespace obs-system di cluster infrastruktur dan peran Datasource Viewer (datasource-viewer) dan Datasource Editor (datasource-editor) di namespace obs-system di management plane.

Menyiapkan Loki

  1. Tetapkan KUBECONFIG ke cluster Org Infra:

    export KUBECONFIG=ORG_INFRA_CLUSTER_KUBECONFIG_PATH
    
  2. Dapatkan ID kunci akses dan kunci akses rahasia untuk bucket log appliance dari PA dan buat secret yang berisi kredensial di namespace obs-system:

    kubectl create secret generic -n obs-system APPLIANCE_LOGS_BUCKET_SECRET_NAME 
    --from-literal=access-key-id=APPLIANCE_LOGS_BUCKET_ACCESS_KEY_ID 
    --from-literal=secret-access-key=APPLIANCE_LOGS_BUCKET_SECRET_ACCESS_KEY
    
  3. Dapatkan endpoint dan nama lengkap bucket log appliance dari PA, lalu buat configmap Loki:

    kubectl apply -f - <<EOF
    ---
    apiVersion: v1
    kind: ConfigMap
    metadata:
      name: CONFIGMAP_NAME
      namespace: obs-system
    data:
      loki.yaml: |-
        auth_enabled: true
        common:
          ring:
            kvstore:
              store: inmemory
        compactor:
          working_directory: /data/loki/compactor
          compaction_interval: 10m
          retention_enabled: true
          retention_delete_delay: 2h
          retention_delete_worker_count: 150
          delete_request_store: s3
        ingester:
          chunk_target_size: 1572864
          chunk_encoding: snappy
          max_chunk_age: 2h
          chunk_idle_period: 90m
          chunk_retain_period: 30s
          autoforget_unhealthy: true
          lifecycler:
            ring:
              kvstore:
                store: inmemory
              replication_factor: 1
              heartbeat_timeout: 10m
          wal:
            enabled: false
        limits_config:
          discover_service_name: []
          retention_period: 48h
          reject_old_samples: false
          ingestion_rate_mb: 256
          ingestion_burst_size_mb: 256
          max_streams_per_user: 20000
          max_global_streams_per_user: 20000
          max_line_size: 0
          per_stream_rate_limit: 256MB
          per_stream_rate_limit_burst: 256MB
          shard_streams:
            enabled: false
            desired_rate: 3MB
        schema_config:
          configs:
          - from: "2020-10-24"
            index:
              period: 24h
              prefix: index_
            object_store: s3
            schema: v13
            store: tsdb
        server:
          http_listen_port: 3100
          grpc_server_max_recv_msg_size: 104857600
          grpc_server_max_send_msg_size: 104857600
          graceful_shutdown_timeout: 60s
        analytics:
          reporting_enabled: false
        storage_config:
          tsdb_shipper:
            active_index_directory: /tsdb/index
            cache_location: /tsdb/index-cache
            cache_ttl: 24h
          aws:
            endpoint: APPLIANCE_LOGS_BUCKET_ENDPOINT
            bucketnames: APPLIANCE_LOGS_BUCKET_FULLY_QUALIFIED_NAME
            access_key_id: ${S3_ACCESS_KEY_ID}
            secret_access_key: ${S3_SECRET_ACCESS_KEY}
            s3forcepathstyle: true
    ---
    EOF
    
  4. Buat statefulset dan layanan Loki:

    kubectl apply -f - <<EOF
    ---
    apiVersion: apps/v1
    kind: StatefulSet
    metadata:
      labels:
        app: STATEFULSET_NAME
      name: STATEFULSET_NAME
      namespace: obs-system
    spec:
      persistentVolumeClaimRetentionPolicy:
        whenDeleted: Retain
        whenScaled: Retain
      podManagementPolicy: OrderedReady
      replicas: 1
      revisionHistoryLimit: 10
      selector:
        matchLabels:
          app: STATEFULSET_NAME
      serviceName: STATEFULSET_NAME
      template:
        metadata:
          labels:
            app: STATEFULSET_NAME
            istio.io/rev: default
        spec:
          affinity:
            nodeAffinity:
              preferredDuringSchedulingIgnoredDuringExecution:
              - preference:
                  matchExpressions:
                  - key: node-role.kubernetes.io/control-plane
                    operator: DoesNotExist
                  - key: node-role.kubernetes.io/master
                    operator: DoesNotExist
                weight: 1
            podAntiAffinity:
              preferredDuringSchedulingIgnoredDuringExecution:
              - podAffinityTerm:
                  labelSelector:
                    matchExpressions:
                    - key: app
                      operator: In
                      values:
                      - STATEFULSET_NAME
                  topologyKey: kubernetes.io/hostname
                weight: 100
          containers:
          - args:
            - -config.file=/etc/loki/loki.yaml
            - -config.expand-env=true
            - -target=all
            env:
            - name: S3_ACCESS_KEY_ID
              valueFrom:
                secretKeyRef:
                  key: access-key-ID
                  name: APPLIANCE_LOGS_BUCKET_SECRET_NAME
                  optional: false
            - name: S3_SECRET_ACCESS_KEY
              valueFrom:
                  secretKeyRef:
                    key: secret-access-key
                    name: APPLIANCE_LOGS_BUCKET_SECRET_NAME
                    optional: false
            image: gcr.io/private-cloud-staging/loki:v3.0.1-gke.1
            imagePullPolicy: Always
            livenessProbe:
              failureThreshold: 3
              httpGet:
                path: /ready
                port: loki-server
                scheme: HTTP
              initialDelaySeconds: 330
              periodSeconds: 10
              successThreshold: 1
              timeoutSeconds: 1
            name: STATEFULSET_NAME
            ports:
            - containerPort: 3100
              name: loki-server
              protocol: TCP
            - containerPort: 7946
              name: gossip-ring
              protocol: TCP
            readinessProbe:
              failureThreshold: 3
              httpGet:
                path: /ready
                port: loki-server
                scheme: HTTP
              initialDelaySeconds: 45
              periodSeconds: 10
              successThreshold: 1
              timeoutSeconds: 1
            resources:
              limits:
                ephemeral-storage: 2000Mi
                memory: 8000Mi
              requests:
                cpu: 300m
                ephemeral-storage: 2000Mi
                memory: 1000Mi
            securityContext:
              readOnlyRootFilesystem: true
            terminationMessagePath: /dev/termination-log
            terminationMessagePolicy: File
            volumeMounts:
            - mountPath: /etc/loki
              name: config
            - mountPath: /data
              name: loki-storage
            - mountPath: /tsdb
              name: loki-tsdb-storage
            - mountPath: /tmp
              name: temp
            - mountPath: /tmp/loki/rules-temp
              name: tmprulepath
            - mountPath: /etc/ssl/certs
              name: trust-bundle
              readOnly: true
          dnsPolicy: ClusterFirst
          restartPolicy: Always
          schedulerName: default-scheduler
          securityContext:
            fsGroup: 10001
            runAsGroup: 10001
            runAsUser: 10001
          terminationGracePeriodSeconds: 4800
          volumes:
          - emptyDir: {}
            name: temp
          - emptyDir: {}
            name: tmprulepath
          - configMap:
              defaultMode: 420
              name: trust-store-root-ext
              optional: true
            name: trust-bundle
          - configMap:
              defaultMode: 420
              name: CONFIGMAP_NAME
            name: config
      updateStrategy:
        type: RollingUpdate
      volumeClaimTemplates:
      - apiVersion: v1
        kind: PersistentVolumeClaim
        metadata:
          creationTimestamp: null
          name: loki-storage
        spec:
          accessModes:
          - ReadWriteOnce
          resources:
            requests:
              storage: 5Gi
          storageClassName: standard-rwo
          volumeMode: Filesystem
      - apiVersion: v1
        kind: PersistentVolumeClaim
        metadata:
          creationTimestamp: null
          name: loki-tsdb-storage
        spec:
          accessModes:
          - ReadWriteOnce
          resources:
            requests:
              storage: 5Gi
          storageClassName: standard-rwo
          volumeMode: Filesystem
    ---
    apiVersion: v1
    kind: Service
    metadata:
      name: STATEFULSET_NAME
      namespace: obs-system
    spec:
      internalTrafficPolicy: Cluster
      ipFamilies:
      - IPv4
      ipFamilyPolicy: SingleStack
      ports:
      - name: loki-server
        port: 3100
        protocol: TCP
        targetPort: loki-server
      selector:
        app: STATEFULSET_NAME
      sessionAffinity: None
      type: ClusterIP
    ---
    EOF
    

Menyiapkan Grafana DataSource

  1. Setel KUBECONFIG ke Org Management API:

    export KUBECONFIG=ORG_MANAGEMENT_API_KUBECONFIG_PATH
    
  2. Buat DataSources untuk log Infrastruktur dan Platform:

    kubectl apply -f - <<EOF
    ---
    apiVersion: monitoring.private.gdc.goog/v1alpha1
    kind: Datasource
    metadata:
      name: INFRA_DATASOURCE_NAME
      namespace: APPLIANCE_PROJECT_NAME-obs-system
    spec:
      datasource:
        access: proxy
        isDefault: false
        jsonData:
          httpHeaderName1: X-Scope-OrgID
        name: UI_FRIENDLY_NAME
        orgId: 1
        readOnly: true
        secureJsonData:
          httpHeaderValue1: infra-obs
        type: loki
        uid: INFRA_DATASOURCE_NAME
        url: http://STATEFULSET_NAME.obs-system.svc:3100
        version: 1
        withCredentials: false
    ---
    apiVersion: monitoring.private.gdc.goog/v1alpha1
    kind: Datasource
    metadata:
      name: PLATFORM_DATASOURCE_NAME
      namespace: APPLIANCE_PROJECT_NAME-obs-system
    spec:
      datasource:
        access: proxy
        isDefault: false
        jsonData:
          httpHeaderName1: X-Scope-OrgID
        name: UI_FRIENDLY_NAME
        orgId: 1
        readOnly: true
        secureJsonData:
          httpHeaderValue1: platform-obs
        type: loki
        uid: PLATFORM_DATASOURCE_NAME
        url: http://STATEFULSET_NAME.obs-system.svc:3100
        version: 1
        withCredentials: false
    ---
    EOF
    

Melihat log di Grafana pusat data Google Distributed Cloud dengan air gap

Log yang diekspor ke bucket pusat data air-gapped Google Distributed Cloud dapat dilihat di instance Grafana project appliance GDC.