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Class: Aws::AppConfig::Types::UpdateDeploymentStrategyRequest

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Note:

When passing UpdateDeploymentStrategyRequest as input to an Aws::Client method, you can use a vanilla Hash:

{
  deployment_strategy_id: "DeploymentStrategyId", # required
  description: "Description",
  deployment_duration_in_minutes: 1,
  final_bake_time_in_minutes: 1,
  growth_factor: 1.0,
  growth_type: "LINEAR", # accepts LINEAR, EXPONENTIAL
}

See Also:

Instance Attribute Summary collapse

Instance Attribute Details

#deployment_duration_in_minutes ⇒ Integer

Total amount of time for a deployment to last.

Returns:

  • (Integer) —

    Total amount of time for a deployment to last.

#deployment_strategy_id ⇒ String

The deployment strategy ID.

Returns:

  • (String) —

    The deployment strategy ID.

#description ⇒ String

A description of the deployment strategy.

Returns:

  • (String) —

    A description of the deployment strategy.

#final_bake_time_in_minutes ⇒ Integer

The amount of time AppConfig monitors for alarms before considering the deployment to be complete and no longer eligible for automatic roll back.

Returns:

  • (Integer) —

    The amount of time AppConfig monitors for alarms before considering the deployment to be complete and no longer eligible for automatic roll back.

#growth_factor ⇒ Float

The percentage of targets to receive a deployed configuration during each interval.

Returns:

  • (Float) —

    The percentage of targets to receive a deployed configuration during each interval.

#growth_type ⇒ String

The algorithm used to define how percentage grows over time. AWS 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.

Possible values:

  • LINEAR
  • EXPONENTIAL

Returns:

  • (String) —

    The algorithm used to define how percentage grows over time.