Crate aws_sdk_autoscalingplans

Use AWS Auto Scaling to create scaling plans for your applications to automatically scale your scalable AWS resources.

API Summary

You can use the AWS Auto Scaling service API to accomplish the following tasks:

• Create and manage scaling plans
• Define target tracking scaling policies to dynamically scale your resources based on utilization
• Scale Amazon EC2 Auto Scaling groups using predictive scaling and dynamic scaling to scale your Amazon EC2 capacity faster
• Set minimum and maximum capacity limits
• Retrieve information on existing scaling plans
• Access current forecast data and historical forecast data for up to 56 days previous

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

Getting Started

Examples are available for many services and operations, check out the examples folder in GitHub.

The SDK provides one crate per AWS service. You must add Tokio as a dependency within your Rust project to execute asynchronous code. To add aws-sdk-autoscalingplans to your project, add the following to your Cargo.toml file:

[dependencies]
aws-config = { version = "1.1.7", features = ["behavior-version-latest"] }
aws-sdk-autoscalingplans = "1.24.0"
tokio = { version = "1", features = ["full"] }

Then in code, a client can be created with the following:

use aws_sdk_autoscalingplans as autoscalingplans;

#[::tokio::main]
async fn main() -> Result<(), autoscalingplans::Error> {
    let config = aws_config::load_from_env().await;
    let client = aws_sdk_autoscalingplans::Client::new(&config);

    // ... make some calls with the client

    Ok(())
}

See the client documentation for information on what calls can be made, and the inputs and outputs for each of those calls.

Using the SDK

Until the SDK is released, we will be adding information about using the SDK to the Developer Guide. Feel free to suggest additional sections for the guide by opening an issue and describing what you are trying to do.

Getting Help

• GitHub discussions - For ideas, RFCs & general questions
• GitHub issues - For bug reports & feature requests
• Generated Docs (latest version)
• Usage examples

Crate Organization

The entry point for most customers will be Client, which exposes one method for each API offered by AWS Auto Scaling Plans. The return value of each of these methods is a “fluent builder”, where the different inputs for that API are added by builder-style function call chaining, followed by calling send() to get a Future that will result in either a successful output or a SdkError.

Some of these API inputs may be structs or enums to provide more complex structured information. These structs and enums live in types. There are some simpler types for representing data such as date times or binary blobs that live in primitives.

All types required to configure a client via the Config struct live in config.

The operation module has a submodule for every API, and in each submodule is the input, output, and error type for that API, as well as builders to construct each of those.

There is a top-level Error type that encompasses all the errors that the client can return. Any other error type can be converted to this Error type via the From trait.

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

Modules

• client
  Client for calling AWS Auto Scaling Plans.
• config
  Configuration for AWS Auto Scaling Plans.
• error
  Common errors and error handling utilities.
• meta
  Information about this crate.
• operation
  All operations that this crate can perform.
• primitives
  Primitives such as Blob or DateTime used by other types.
• types
  Data structures used by operation inputs/outputs.

Structs

• Client
  Client for AWS Auto Scaling Plans
• Config
  Configuration for a aws_sdk_autoscalingplans service client.

Enums

• Error
  All possible error types for this service.