AppConfig / Client / update_deployment_strategy
update_deployment_strategy#
- AppConfig.Client.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,- Gis the growth factor specified by the user and- Nis 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': { '...': '...', }, }