Struct DeploymentController

#[non_exhaustive]
pub struct DeploymentController {
    pub type: DeploymentControllerType,
}

The deployment controller to use for the service.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

type: DeploymentControllerType

The deployment controller type to use.

The deployment controller is the mechanism that determines how tasks are deployed for your service. The valid options are:

• ECS

  When you create a service which uses the ECS deployment controller, you can choose between the following deployment strategies:

  • ROLLING: When you create a service which uses the rolling update (ROLLING) deployment strategy, the Amazon ECS service scheduler replaces the currently running tasks with new tasks. The number of tasks that Amazon ECS adds or removes from the service during a rolling update is controlled by the service deployment configuration.

    Rolling update deployments are best suited for the following scenarios:

    • Gradual service updates: You need to update your service incrementally without taking the entire service offline at once.

    • Limited resource requirements: You want to avoid the additional resource costs of running two complete environments simultaneously (as required by blue/green deployments).

    • Acceptable deployment time: Your application can tolerate a longer deployment process, as rolling updates replace tasks one by one.

    • No need for instant roll back: Your service can tolerate a rollback process that takes minutes rather than seconds.

    • Simple deployment process: You prefer a straightforward deployment approach without the complexity of managing multiple environments, target groups, and listeners.

    • No load balancer requirement: Your service doesn't use or require a load balancer, Application Load Balancer, Network Load Balancer, or Service Connect (which are required for blue/green deployments).

    • Stateful applications: Your application maintains state that makes it difficult to run two parallel environments.

    • Cost sensitivity: You want to minimize deployment costs by not running duplicate environments during deployment.

    Rolling updates are the default deployment strategy for services and provide a balance between deployment safety and resource efficiency for many common application scenarios.

  • BLUE_GREEN: A blue/green deployment strategy (BLUE_GREEN) is a release methodology that reduces downtime and risk by running two identical production environments called blue and green. With Amazon ECS blue/green deployments, you can validate new service revisions before directing production traffic to them. This approach provides a safer way to deploy changes with the ability to quickly roll back if needed.

    Amazon ECS blue/green deployments are best suited for the following scenarios:

    • Service validation: When you need to validate new service revisions before directing production traffic to them

    • Zero downtime: When your service requires zero-downtime deployments

    • Instant roll back: When you need the ability to quickly roll back if issues are detected

    • Load balancer requirement: When your service uses Application Load Balancer, Network Load Balancer, or Service Connect

• External

  Use a third-party deployment controller.

• Blue/green deployment (powered by CodeDeploy)

  CodeDeploy installs an updated version of the application as a new replacement task set and reroutes production traffic from the original application task set to the replacement task set. The original task set is terminated after a successful deployment. Use this deployment controller to verify a new deployment of a service before sending production traffic to it.

Implementations

impl DeploymentController

pub fn type(&self) -> &DeploymentControllerType

The deployment controller type to use.

The deployment controller is the mechanism that determines how tasks are deployed for your service. The valid options are:

• ECS

  When you create a service which uses the ECS deployment controller, you can choose between the following deployment strategies:

  • ROLLING: When you create a service which uses the rolling update (ROLLING) deployment strategy, the Amazon ECS service scheduler replaces the currently running tasks with new tasks. The number of tasks that Amazon ECS adds or removes from the service during a rolling update is controlled by the service deployment configuration.

    Rolling update deployments are best suited for the following scenarios:

    • Gradual service updates: You need to update your service incrementally without taking the entire service offline at once.

    • Limited resource requirements: You want to avoid the additional resource costs of running two complete environments simultaneously (as required by blue/green deployments).

    • Acceptable deployment time: Your application can tolerate a longer deployment process, as rolling updates replace tasks one by one.

    • No need for instant roll back: Your service can tolerate a rollback process that takes minutes rather than seconds.

    • Simple deployment process: You prefer a straightforward deployment approach without the complexity of managing multiple environments, target groups, and listeners.

    • No load balancer requirement: Your service doesn't use or require a load balancer, Application Load Balancer, Network Load Balancer, or Service Connect (which are required for blue/green deployments).

    • Stateful applications: Your application maintains state that makes it difficult to run two parallel environments.

    • Cost sensitivity: You want to minimize deployment costs by not running duplicate environments during deployment.

    Rolling updates are the default deployment strategy for services and provide a balance between deployment safety and resource efficiency for many common application scenarios.

  • BLUE_GREEN: A blue/green deployment strategy (BLUE_GREEN) is a release methodology that reduces downtime and risk by running two identical production environments called blue and green. With Amazon ECS blue/green deployments, you can validate new service revisions before directing production traffic to them. This approach provides a safer way to deploy changes with the ability to quickly roll back if needed.

    Amazon ECS blue/green deployments are best suited for the following scenarios:

    • Service validation: When you need to validate new service revisions before directing production traffic to them

    • Zero downtime: When your service requires zero-downtime deployments

    • Instant roll back: When you need the ability to quickly roll back if issues are detected

    • Load balancer requirement: When your service uses Application Load Balancer, Network Load Balancer, or Service Connect

• External

  Use a third-party deployment controller.

• Blue/green deployment (powered by CodeDeploy)

  CodeDeploy installs an updated version of the application as a new replacement task set and reroutes production traffic from the original application task set to the replacement task set. The original task set is terminated after a successful deployment. Use this deployment controller to verify a new deployment of a service before sending production traffic to it.

impl DeploymentController

pub fn builder() -> DeploymentControllerBuilder

Creates a new builder-style object to manufacture DeploymentController.

Trait Implementations

impl Clone for DeploymentController

fn clone(&self) -> DeploymentController

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DeploymentController

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

Formats the value using the given formatter.

impl PartialEq for DeploymentController

fn eq(&self, other: &DeploymentController) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for DeploymentController