建立含有多種機器類型的 MIG

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本文說明如何使用執行個體彈性建立代管執行個體群組 (MIG)，讓您在 MIG 中指定多個機型。

執行個體的彈性有助於提高資源取得率，特別適用於可在不同機器類型上運作的應用程式，以及需要大規模容量或高需求硬體的應用程式。詳情請參閱「關於執行個體彈性」。

您也可以參閱其他建立 MIG 的基本情境。

事前準備

• 建立執行個體範本，以便建立代管執行個體群組。
• 如果尚未設定，請先設定驗證機制。驗證是指驗證身分，以便存取 Google Cloud 服務和 API 的程序。如要在本機開發環境中執行程式碼或範例，您可以選取下列任一選項，向 Compute Engine 進行驗證：
  

  Select the tab for how you plan to use the samples on this page:

  Console

  When you use the Google Cloud console to access Google Cloud services and APIs, you don't need to set up authentication.

  gcloud

  1. After installing the Google Cloud CLI, initialize it by running the following command:

     gcloud init

     If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity.

  2. Set a default region and zone.

  Terraform

  To use the Terraform samples on this page in a local development environment, install and initialize the gcloud CLI, and then set up Application Default Credentials with your user credentials.

  1. Install the Google Cloud CLI.

  2. If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity.

  3. To initialize the gcloud CLI, run the following command:

     gcloud init

  4. If you're using a local shell, then create local authentication credentials for your user account:

     gcloud auth application-default login

     You don't need to do this if you're using Cloud Shell.

     If an authentication error is returned, and you are using an external identity provider (IdP), confirm that you have signed in to the gcloud CLI with your federated identity.

  For more information, see Set up authentication for a local development environment.

  REST

  To use the REST API samples on this page in a local development environment, you use the credentials you provide to the gcloud CLI.

  After installing the Google Cloud CLI, initialize it by running the following command:

  gcloud init

  If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity.

  For more information, see Authenticate for using REST in the Google Cloud authentication documentation.

建立含有多種機器類型的 MIG

gcloud compute instance-groups managed create INSTANCE_GROUP_NAME \
    --region REGION \
    --size TARGET_SIZE \
    --template INSTANCE_TEMPLATE \
    --target-distribution-shape SHAPE \
    --instance-redistribution-type none \
    --instance-selection-machine-types MACHINE_TYPE,MACHINE_TYPE,...

resource "google_compute_region_instance_group_manager" "default" {
  name               = "flex-igm"
  base_instance_name = "tf-test-flex-igm"
  region             = "us-central1"

  target_size                      = 3
  distribution_policy_target_shape = "ANY_SINGLE_ZONE"

  version {
    instance_template = google_compute_instance_template.default.id
  }

  instance_flexibility_policy {
    instance_selections {
      name          = "default-instance-selection"
      machine_types = ["n1-standard-16", "n2-standard-16", "e2-standard-16"]
    }
  }

  update_policy {
    instance_redistribution_type = "NONE"
    type                         = "OPPORTUNISTIC"
    minimal_action               = "REPLACE"
    max_surge_fixed              = 0
    max_unavailable_fixed        = 6
  }
}

POST https://compute.googleapis.com/compute/v1/projects/PROJECT_ID/regions/REGION/instanceGroupManagers

{
  "name": "INSTANCE_GROUP_NAME",
  "targetSize": TARGET_SIZE,
  "instanceTemplate": "INSTANCE_TEMPLATE_URL",
  "distributionPolicy": {
    "targetShape": "SHAPE"
  },
  "updatePolicy": {
    "instanceRedistributionType": "NONE"
  },
  "instanceFlexibilityPolicy": {
    "instanceSelections": {
      "INSTANCE_SELECTION": {
        "machineTypes": [
          "MACHINE_TYPE_1",
          "MACHINE_TYPE_2",
          ...
        ]
      }
    }
  }
}

後續步驟

• 檢查執行個體靈活性設定。
• 變更執行個體彈性，根據偏好設定使用機器類型。
• 建立含有多個機器類型和偏好的 MIG。
• 移除執行個體彈性。