Use GetProvisionConfig to query provisioned configuration details - Function Compute - Alibaba Cloud -

Queries the details of provisioned configurations.

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RAM authorization

The table below describes the authorization required to call this API. You can define it in a Resource Access Management (RAM) policy. The table's columns are detailed below:

Action: The actions can be used in the Action element of RAM permission policy statements to grant permissions to perform the operation.
API: The API that you can call to perform the action.
Access level: The predefined level of access granted for each API. Valid values: create, list, get, update, and delete.
Resource type: The type of the resource that supports authorization to perform the action. It indicates if the action supports resource-level permission. The specified resource must be compatible with the action. Otherwise, the policy will be ineffective.
- For APIs with resource-level permissions, required resource types are marked with an asterisk (*). Specify the corresponding Alibaba Cloud Resource Name (ARN) in the Resource element of the policy.
- For APIs without resource-level permissions, it is shown as All Resources. Use an asterisk (*) in the Resource element of the policy.
Condition key: The condition keys defined by the service. The key allows for granular control, applying to either actions alone or actions associated with specific resources. In addition to service-specific condition keys, Alibaba Cloud provides a set of common condition keys applicable across all RAM-supported services.
Dependent action: The dependent actions required to run the action. To complete the action, the RAM user or the RAM role must have the permissions to perform all dependent actions.

Action

Access level

Resource type

Condition key

Dependent action

fc:GetProvisionConfig

get

*All Resource

*

None

Request syntax

GET /2021-04-06/services/{serviceName}/functions/{functionName}/provision-config HTTP/1.1

Path Parameters

Parameter	Type	Required	Description	Example
serviceName	string	Yes	The service name.	demoService
functionName	string	Yes	The function name.	demoFunction

Request parameters

Parameter	Type	Required	Description	Example
qualifier	string	Yes	The name of the alias.	prod
X-Fc-Account-Id	string	No	The ID of your Alibaba Cloud account.	188077086902****
X-Fc-Date	string	No	The time when the function is invoked. The value is in the EEE,d MMM yyyy HH:mm:ss GMT format.	Wed, 11 May 2022 09:00:00 GMT
X-Fc-Trace-Id	string	No	The trace ID of the request for Function Compute API.	rid281s******

Response elements

Element	Type	Description	Example
	object	The provisioned instance configurations of the function.
resource	string	The resource description.	12345#servierName#qualifier#functionName
target	integer	The expected number of resources.	5
current	integer	The number of current resources.	1
scheduledActions	array	The scheduled auto scaling policy.
	ScheduledActions	The details about the scheduled scaling policy. You can use a scheduled scaling policy to flexibly configure provisioned instances. You can set the number of provisioned instances to a specific value at the scheduled time. This way, the number of provisioned instances can meet the concurrency requirements of your business.	[ { "Name":"action_1", "StartTime":"2020-11-01T10:00:00Z", "EndTime":"2020-11-30T10:00:00Z", "TargetValue":50, "ScheduleExpression":"cron(0 0 20 * * )" }, { "Name":"action_2", "StartTime":"2020-11-01T10:00:00Z", "EndTime":"2020-11-30T10:00:00Z", "TargetValue":10, "ScheduleExpression":"cron(0 0 22 * *)" } ]
targetTrackingPolicies	array	The configurations of the metric-based scaling policy.
	TargetTrackingPolicies	The details about the metric-based scaling policy. Provisioned instances are scaled every minute based on the concurrency usage rate of provisioned instances. When the metric value exceeds the value of metricTarget, the system starts to scale out provisioned instances with an active policy to restore the metric value close to the value of metricTarget. When the metric value is lower than the value metricTarget, the system starts to scale in provisioned instances with a conservative policy so that the metric value gradually reaches the value metricTarget. After you specify the maximum and minimum numbers of provisioned instances, the system scales in or out provisioned instances within the range from the minimum number to the maximum number. If the number of provisioned instances reaches the specified maximum or minimum number, scaling stops.	[ { "Name": "action_1", "StartTime": "2020-11-01T10:00:00Z", "EndTime": "2020-11-30T10:00:00Z", "MetricType": "ProvisionedConcurrencyUtilization", "MetricTarget": 0.6, "MinCapacity": 10, "MaxCapacity": 100 } ]
currentError	string	The error message returned if a provisioned instance fails to be created.	image not found
alwaysAllocateCPU	boolean	Specifies whether to always allocate CPU resources to function instances.	true

Examples

Success response

JSON format

{
  "resource": "12345#servierName#qualifier#functionName",
  "target": 5,
  "current": 1,
  "scheduledActions": [
    {
      "name": "name",
      "startTime": "2020-10-10T10:10:10Z",
      "endTime": "2021-10-10T10:10:10Z",
      "target": 50,
      "scheduleExpression": "cron(0/30 * * * *)"
    }
  ],
  "targetTrackingPolicies": [
    {
      "name": "test_1",
      "startTime": "2020-10-10T10:10:10Z",
      "endTime": "2020-10-10T10:10:10Z",
      "metricType": "CPUUtilization",
      "metricTarget": 0.6,
      "minCapacity": 10,
      "maxCapacity": 100
    }
  ],
  "currentError": "image not found",
  "alwaysAllocateCPU": true
}

Error codes

See Error Codes for a complete list.

Release notes

See Release Notes for a complete list.