Expand description
Automation is a feature within Amazon Web Services Compute Optimizer that enables you to apply optimization recommendations to your Amazon Web Services resources, reducing costs and improving performance. You can apply recommended actions directly or create automation rules that implement recommendations on a recurring schedule when they match your specified criteria. With automation rules, set criteria such as Amazon Web Services Region and Resource Tags to target specific geographies and workloads. Configure rules to run daily, weekly, or monthly, and Compute Optimizer continuously evaluates new recommendations against your criteria. Track automation events over time, examine detailed step history, estimate savings achieved, and reverse actions directly from Compute Optimizer when needed.
§Getting Started
Examples are available for many services and operations, check out the usage examples.
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-computeoptimizerautomation to
your project, add the following to your Cargo.toml file:
[dependencies]
aws-config = { version = "1.1.7", features = ["behavior-version-latest"] }
aws-sdk-computeoptimizerautomation = "1.1.0"
tokio = { version = "1", features = ["full"] }Then in code, a client can be created with the following:
use aws_sdk_computeoptimizerautomation as computeoptimizerautomation;
#[::tokio::main]
async fn main() -> Result<(), computeoptimizerautomation::Error> {
let config = aws_config::load_from_env().await;
let client = aws_sdk_computeoptimizerautomation::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 Compute Optimizer Automation. 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 Compute Optimizer Automation.
- config
- Configuration for Compute Optimizer Automation.
- error
- Common errors and error handling utilities.
- meta
- Information about this crate.
- operation
- All operations that this crate can perform.
- primitives
- Primitives such as
BloborDateTimeused by other types. - types
- Data structures used by operation inputs/outputs.
Structs§
- Client
- Client for Compute Optimizer Automation
- Config
- Configuration for a aws_sdk_computeoptimizerautomation service client.
Enums§
- Error
- All possible error types for this service.