Crate aws_sdk_applicationautoscaling[−][src]

Expand description

With Application Auto Scaling, you can configure automatic scaling for the following resources:

  • Amazon AppStream 2.0 fleets

  • Amazon Aurora Replicas

  • Amazon Comprehend document classification and entity recognizer endpoints

  • Amazon DynamoDB tables and global secondary indexes throughput capacity

  • Amazon ECS services

  • Amazon ElastiCache for Redis clusters (replication groups)

  • Amazon EMR clusters

  • Amazon Keyspaces (for Apache Cassandra) tables

  • Lambda function provisioned concurrency

  • Amazon Managed Streaming for Apache Kafka broker storage

  • Amazon Neptune clusters

  • Amazon SageMaker endpoint variants

  • Spot Fleets (Amazon EC2)

  • Custom resources provided by your own applications or services

API Summary

The Application Auto Scaling service API includes three key sets of actions:

  • Register and manage scalable targets - Register Amazon Web Services or custom resources as scalable targets (a resource that Application Auto Scaling can scale), set minimum and maximum capacity limits, and retrieve information on existing scalable targets.

  • Configure and manage automatic scaling - Define scaling policies to dynamically scale your resources in response to CloudWatch alarms, schedule one-time or recurring scaling actions, and retrieve your recent scaling activity history.

  • Suspend and resume scaling - Temporarily suspend and later resume automatic scaling by calling the RegisterScalableTarget API action for any Application Auto Scaling scalable target. You can suspend and resume (individually or in combination) scale-out activities that are triggered by a scaling policy, scale-in activities that are triggered by a scaling policy, and scheduled scaling.

To learn more about Application Auto Scaling, including information about granting IAM users required permissions for Application Auto Scaling actions, see the Application Auto Scaling User Guide.

Crate Organization

The entry point for most customers will be Client. Client exposes one method for each API offered by the service.

Some APIs require complex or nested arguments. These exist in model.

Lastly, errors that can be returned by the service are contained within error. Error defines a meta error encompassing all possible errors that can be returned by the service.

The other modules within this crate are not required for normal usage.

Examples

Examples can be found here.

Re-exports

pub use config::Config;
pub use client::Client;

Modules

client

Client and fluent builders for calling the service.

config

Configuration for the service.

error

Errors that can occur when calling the service.

input

Input structures for operations.

middleware

Base Middleware Stack

model

Data structures used by operation inputs/outputs.

operation

All operations that this crate can perform.

output

Output structures for operations.

Structs

AppName

App name that can be configured with an AWS SDK client to become part of the user agent string.

Blob

Binary Blob Type

ByteStream

Stream of binary data

Credentials

AWS SDK Credentials

DateTime

DateTime in time.

Endpoint

API Endpoint

Region

The region to send requests to.

RetryConfig

Retry configuration for requests.

Enums

Error

All possible error types for this service.

SdkError

Failed SDK Result

Statics

PKG_VERSION

Crate version number.