update_deployment_strategy

update_deployment_strategy(**kwargs)

Updates a deployment strategy.

See also: AWS API Documentation

Request Syntax

response = client.update_deployment_strategy(
    DeploymentStrategyId='string',
    Description='string',
    DeploymentDurationInMinutes=123,
    FinalBakeTimeInMinutes=123,
    GrowthFactor=...,
    GrowthType='LINEAR'|'EXPONENTIAL'
)

Parameters

• DeploymentStrategyId (string) --

  [REQUIRED]

  The deployment strategy ID.

• Description (string) -- A description of the deployment strategy.
• DeploymentDurationInMinutes (integer) -- Total amount of time for a deployment to last.
• FinalBakeTimeInMinutes (integer) -- The amount of time that AppConfig monitors for alarms before considering the deployment to be complete and no longer eligible for automatic rollback.
• GrowthFactor (float) -- The percentage of targets to receive a deployed configuration during each interval.
• GrowthType (string) --

  The algorithm used to define how percentage grows over time. AppConfig supports the following growth types:

  Linear : For this type, AppConfig processes the deployment by increments of the growth factor evenly distributed over the deployment time. For example, a linear deployment that uses a growth factor of 20 initially makes the configuration available to 20 percent of the targets. After 1/5th of the deployment time has passed, the system updates the percentage to 40 percent. This continues until 100% of the targets are set to receive the deployed configuration.

  Exponential : For this type, AppConfig processes the deployment exponentially using the following formula: G*(2^N) . In this formula, G is the growth factor specified by the user and N is the number of steps until the configuration is deployed to all targets. For example, if you specify a growth factor of 2, then the system rolls out the configuration as follows:

  2*(2^0)

  2*(2^1)

  2*(2^2)

  Expressed numerically, the deployment rolls out as follows: 2% of the targets, 4% of the targets, 8% of the targets, and continues until the configuration has been deployed to all targets.

Return type

dict

Returns

Response Syntax

{
    'Id': 'string',
    'Name': 'string',
    'Description': 'string',
    'DeploymentDurationInMinutes': 123,
    'GrowthType': 'LINEAR'|'EXPONENTIAL',
    'GrowthFactor': ...,
    'FinalBakeTimeInMinutes': 123,
    'ReplicateTo': 'NONE'|'SSM_DOCUMENT'
}

Response Structure

• (dict) --

  • Id (string) --

    The deployment strategy ID.

  • Name (string) --

    The name of the deployment strategy.

  • Description (string) --

    The description of the deployment strategy.

  • DeploymentDurationInMinutes (integer) --

    Total amount of time the deployment lasted.

  • GrowthType (string) --

    The algorithm used to define how percentage grew over time.

  • GrowthFactor (float) --

    The percentage of targets that received a deployed configuration during each interval.

  • FinalBakeTimeInMinutes (integer) --

    The amount of time that AppConfig monitored for alarms before considering the deployment to be complete and no longer eligible for automatic rollback.

  • ReplicateTo (string) --

    Save the deployment strategy to a Systems Manager (SSM) document.

Exceptions

• AppConfig.Client.exceptions.BadRequestException
• AppConfig.Client.exceptions.ResourceNotFoundException
• AppConfig.Client.exceptions.InternalServerException

Examples

The following update-deployment-strategy example updates final bake time to 20 minutes in the specified deployment strategy.

::

response = client.update_deployment_strategy(

DeploymentStrategyId='1225qzk', FinalBakeTimeInMinutes=20,

)

print(response)

Expected Output:

{
    'DeploymentDurationInMinutes': 15,
    'FinalBakeTimeInMinutes': 20,
    'GrowthFactor': 25,
    'GrowthType': 'LINEAR',
    'Id': '1225qzk',
    'Name': 'Example-Deployment',
    'ReplicateTo': 'SSM_DOCUMENT',
    'ResponseMetadata': {
        '...': '...',
    },
}