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Function Compute:PutProvisionConfig

Last Updated:Oct 10, 2024

Creates provisioned configurations.

Debugging

OpenAPI Explorer automatically calculates the signature value. For your convenience, we recommend that you call this operation in OpenAPI Explorer.

Authorization information

The following table shows the authorization information corresponding to the API. The authorization information can be used in the Action policy element to grant a RAM user or RAM role the permissions to call this API operation. Description:

  • Operation: the value that you can use in the Action element to specify the operation on a resource.
  • Access level: the access level of each operation. The levels are read, write, and list.
  • Resource type: the type of the resource on which you can authorize the RAM user or the RAM role to perform the operation. Take note of the following items:
    • The required resource types are displayed in bold characters.
    • If the permissions cannot be granted at the resource level, All Resources is used in the Resource type column of the operation.
  • Condition Key: the condition key that is defined by the cloud service.
  • Associated operation: other operations that the RAM user or the RAM role must have permissions to perform to complete the operation. To complete the operation, the RAM user or the RAM role must have the permissions to perform the associated operations.
OperationAccess levelResource typeCondition keyAssociated operation
fc:PutProvisionConfigupdate
  • All Resources
    *
    none
none

Request syntax

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

Request parameters

ParameterTypeRequiredDescriptionExample
serviceNamestringYes

The name of the service.

demoService
qualifierstringYes

The service alias or latest version. Other versions are not supported.

prod
functionNamestringYes

The function name.

demoFunction
bodyobjectNo

The provisioned instance configurations.

targetlongYes

The number of provisioned instances. Valid values: [0,10000].

1
scheduledActionsarrayNo

The configurations of scheduled auto scaling.

ScheduledActionsNo

The detailed configurations of the scheduled auto scaling.

targetTrackingPoliciesarrayNo

The configurations of metric-based auto scaling.

TargetTrackingPoliciesNo

The detailed configurations of metric-based auto scaling.

alwaysAllocateCPUbooleanNo

Specify whether to always allocate CPUs. Default value: true.

true
X-Fc-Account-IdstringNo

The ID of your Alibaba Cloud account.

188077086902****
X-Fc-DatestringNo

The time when the function is invoked. The value follows the EEE,d MMM yyyy HH:mm:ss GMT format.

Wed, 11 May 2022 09:00:00 GMT
X-Fc-Trace-IdstringNo

The trace ID of the invocation request of Function Compute.

rid281s******

Response parameters

ParameterTypeDescriptionExample
object

The provisioned instance configurations.

resourcestring

The description of the resource.

"12345#servierName#qualifier#functionName"
targetlong

The number of target provisioned instances.

5
currentlong

The actual number of provisioned instances.

1
scheduledActionsarray

The configuration of scheduled auto scaling.

scheduledActionScheduledActions

Details about the scheduled scaling policy. You can use the scheduled scaling policy to flexibly configure provisioned instances. You can specify the number of provisioned instances to the desired 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 * * *)" } ]
targetTrackingPoliciesarray

The configurations of metric-based auto scaling.

targetTrackingPolicyTargetTrackingPolicies

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.

If you specify the maximum and minimum numbers of provisioned instances, the system scales provisioned instances within the range. 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, } ]
alwaysAllocateCPUboolean

Specifies whether to always allocate CPU to a function instance.

true

Examples

Sample success responses

JSONformat

{
  "resource": "\"12345#servierName#qualifier#functionName\"",
  "target": 5,
  "current": 1,
  "scheduledActions": [
    {
      "name": "",
      "startTime": "",
      "endTime": "",
      "target": 0,
      "scheduleExpression": ""
    }
  ],
  "targetTrackingPolicies": [
    {
      "name": "",
      "startTime": "",
      "endTime": "",
      "metricType": "",
      "metricTarget": 0,
      "minCapacity": 0,
      "maxCapacity": 0
    }
  ],
  "alwaysAllocateCPU": true
}

Error codes

For a list of error codes, visit the Service error codes.

Change history

Change timeSummary of changesOperation
2021-06-30The request parameters of the API has changedView Change Details
2021-06-30The request parameters of the API has changedView Change Details
2021-06-30The request parameters of the API has changedView Change Details