UpdateDeploymentStrategyFluentBuilder

Struct UpdateDeploymentStrategyFluentBuilder 

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pub struct UpdateDeploymentStrategyFluentBuilder { /* private fields */ }
Expand description

Fluent builder constructing a request to UpdateDeploymentStrategy.

Updates a deployment strategy.

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impl UpdateDeploymentStrategyFluentBuilder

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pub fn as_input(&self) -> &UpdateDeploymentStrategyInputBuilder

Access the UpdateDeploymentStrategy as a reference.

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pub async fn send( self, ) -> Result<UpdateDeploymentStrategyOutput, SdkError<UpdateDeploymentStrategyError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

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pub fn customize( self, ) -> CustomizableOperation<UpdateDeploymentStrategyOutput, UpdateDeploymentStrategyError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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pub fn deployment_strategy_id(self, input: impl Into<String>) -> Self

The deployment strategy ID.

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pub fn set_deployment_strategy_id(self, input: Option<String>) -> Self

The deployment strategy ID.

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pub fn get_deployment_strategy_id(&self) -> &Option<String>

The deployment strategy ID.

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pub fn description(self, input: impl Into<String>) -> Self

A description of the deployment strategy.

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pub fn set_description(self, input: Option<String>) -> Self

A description of the deployment strategy.

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pub fn get_description(&self) -> &Option<String>

A description of the deployment strategy.

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pub fn deployment_duration_in_minutes(self, input: i32) -> Self

Total amount of time for a deployment to last.

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pub fn set_deployment_duration_in_minutes(self, input: Option<i32>) -> Self

Total amount of time for a deployment to last.

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pub fn get_deployment_duration_in_minutes(&self) -> &Option<i32>

Total amount of time for a deployment to last.

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pub fn final_bake_time_in_minutes(self, input: i32) -> Self

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

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pub fn set_final_bake_time_in_minutes(self, input: Option<i32>) -> Self

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

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pub fn get_final_bake_time_in_minutes(&self) -> &Option<i32>

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

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pub fn growth_factor(self, input: f32) -> Self

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

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pub fn set_growth_factor(self, input: Option<f32>) -> Self

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

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pub fn get_growth_factor(&self) -> &Option<f32>

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

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pub fn growth_type(self, input: GrowthType) -> Self

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.

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pub fn set_growth_type(self, input: Option<GrowthType>) -> Self

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.

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pub fn get_growth_type(&self) -> &Option<GrowthType>

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.

Trait Implementations§

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impl Clone for UpdateDeploymentStrategyFluentBuilder

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fn clone(&self) -> UpdateDeploymentStrategyFluentBuilder

Returns a duplicate of the value. Read more
1.0.0 · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for UpdateDeploymentStrategyFluentBuilder

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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