Expand description

Please Note: The SDK is currently in Developer Preview and is intended strictly for feedback purposes only. Do not use this SDK for production workloads.

Use AppConfig, a capability of Amazon Web Services Systems Manager, to create, manage, and quickly deploy application configurations. AppConfig supports controlled deployments to applications of any size and includes built-in validation checks and monitoring. You can use AppConfig with applications hosted on Amazon EC2 instances, Lambda, containers, mobile applications, or IoT devices.

To prevent errors when deploying application configurations, especially for production systems where a simple typo could cause an unexpected outage, AppConfig includes validators. A validator provides a syntactic or semantic check to ensure that the configuration you want to deploy works as intended. To validate your application configuration data, you provide a schema or an Amazon Web Services Lambda function that runs against the configuration. The configuration deployment or update can only proceed when the configuration data is valid.

During a configuration deployment, AppConfig monitors the application to ensure that the deployment is successful. If the system encounters an error, AppConfig rolls back the change to minimize impact for your application users. You can configure a deployment strategy for each application or environment that includes deployment criteria, including velocity, bake time, and alarms to monitor. Similar to error monitoring, if a deployment triggers an alarm, AppConfig automatically rolls back to the previous version.

AppConfig supports multiple use cases. Here are some examples:

  • Feature flags: Use AppConfig to turn on new features that require a timely deployment, such as a product launch or announcement.
  • Application tuning: Use AppConfig to carefully introduce changes to your application that can only be tested with production traffic.
  • Allow list: Use AppConfig to allow premium subscribers to access paid content.
  • Operational issues: Use AppConfig to reduce stress on your application when a dependency or other external factor impacts the system.

This reference is intended to be used with the AppConfig 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-appconfig to your project, add the following to your Cargo.toml file:

[dependencies]
aws-config = "0.56.1"
aws-sdk-appconfig = "0.31.1"
tokio = { version = "1", features = ["full"] }

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

use aws_sdk_appconfig as appconfig;

#[::tokio::main]
async fn main() -> Result<(), appconfig::Error> {
    let config = aws_config::load_from_env().await;
    let client = aws_sdk_appconfig::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

Crate Organization

The entry point for most customers will be Client, which exposes one method for each API offered by Amazon AppConfig. 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 for calling Amazon AppConfig.
  • Configuration for Amazon AppConfig.
  • Common errors and error handling utilities.
  • Information about this crate.
  • All operations that this crate can perform.
  • Primitives such as Blob or DateTime used by other types.
  • Data structures used by operation inputs/outputs.

Structs

  • Client for Amazon AppConfig
  • Configuration for a aws_sdk_appconfig service client.

Enums

  • All possible error types for this service.