aws_sdk_securitylake/
lib.rs

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
#![allow(deprecated)]
#![allow(unknown_lints)]
#![allow(clippy::module_inception)]
#![allow(clippy::upper_case_acronyms)]
#![allow(clippy::large_enum_variant)]
#![allow(clippy::wrong_self_convention)]
#![allow(clippy::should_implement_trait)]
#![allow(clippy::disallowed_names)]
#![allow(clippy::vec_init_then_push)]
#![allow(clippy::type_complexity)]
#![allow(clippy::needless_return)]
#![allow(clippy::derive_partial_eq_without_eq)]
#![allow(clippy::result_large_err)]
#![allow(clippy::unnecessary_map_on_constructor)]
#![allow(rustdoc::bare_urls)]
#![allow(rustdoc::redundant_explicit_links)]
#![forbid(unsafe_code)]
#![warn(missing_docs)]
#![cfg_attr(docsrs, feature(doc_auto_cfg))]
//! Amazon Security Lake is a fully managed security data lake service. You can use Security Lake to automatically centralize security data from cloud, on-premises, and custom sources into a data lake that's stored in your Amazon Web Services account. Amazon Web Services Organizations is an account management service that lets you consolidate multiple Amazon Web Services accounts into an organization that you create and centrally manage. With Organizations, you can create member accounts and invite existing accounts to join your organization. Security Lake helps you analyze security data for a more complete understanding of your security posture across the entire organization. It can also help you improve the protection of your workloads, applications, and data.
//!
//! The data lake is backed by Amazon Simple Storage Service (Amazon S3) buckets, and you retain ownership over your data.
//!
//! Amazon Security Lake integrates with CloudTrail, a service that provides a record of actions taken by a user, role, or an Amazon Web Services service. In Security Lake, CloudTrail captures API calls for Security Lake as events. The calls captured include calls from the Security Lake console and code calls to the Security Lake API operations. If you create a trail, you can enable continuous delivery of CloudTrail events to an Amazon S3 bucket, including events for Security Lake. If you don't configure a trail, you can still view the most recent events in the CloudTrail console in Event history. Using the information collected by CloudTrail you can determine the request that was made to Security Lake, the IP address from which the request was made, who made the request, when it was made, and additional details. To learn more about Security Lake information in CloudTrail, see the [Amazon Security Lake User Guide](https://docs.aws.amazon.com/security-lake/latest/userguide/securitylake-cloudtrail.html).
//!
//! Security Lake automates the collection of security-related log and event data from integrated Amazon Web Services services and third-party services. It also helps you manage the lifecycle of data with customizable retention and replication settings. Security Lake converts ingested data into Apache Parquet format and a standard open-source schema called the Open Cybersecurity Schema Framework (OCSF).
//!
//! Other Amazon Web Services services and third-party services can subscribe to the data that's stored in Security Lake for incident response and security data analytics.
//!
//! ## Getting Started
//!
//! > Examples are available for many services and operations, check out the
//! > [examples folder in GitHub](https://github.com/awslabs/aws-sdk-rust/tree/main/examples).
//!
//! The SDK provides one crate per AWS service. You must add [Tokio](https://crates.io/crates/tokio)
//! as a dependency within your Rust project to execute asynchronous code. To add `aws-sdk-securitylake` to
//! your project, add the following to your **Cargo.toml** file:
//!
//! ```toml
//! [dependencies]
//! aws-config = { version = "1.1.7", features = ["behavior-version-latest"] }
//! aws-sdk-securitylake = "1.56.0"
//! tokio = { version = "1", features = ["full"] }
//! ```
//!
//! Then in code, a client can be created with the following:
//!
//! ```rust,no_run
//! use aws_sdk_securitylake as securitylake;
//!
//! #[::tokio::main]
//! async fn main() -> Result<(), securitylake::Error> {
//!     let config = aws_config::load_from_env().await;
//!     let client = aws_sdk_securitylake::Client::new(&config);
//!
//!     // ... make some calls with the client
//!
//!     Ok(())
//! }
//! ```
//!
//! See the [client documentation](https://docs.rs/aws-sdk-securitylake/latest/aws_sdk_securitylake/client/struct.Client.html)
//! 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](https://docs.aws.amazon.com/sdk-for-rust/latest/dg/welcome.html). 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](https://github.com/awslabs/aws-sdk-rust/discussions) - For ideas, RFCs & general questions
//! * [GitHub issues](https://github.com/awslabs/aws-sdk-rust/issues/new/choose) - For bug reports & feature requests
//! * [Generated Docs (latest version)](https://awslabs.github.io/aws-sdk-rust/)
//! * [Usage examples](https://github.com/awslabs/aws-sdk-rust/tree/main/examples)
//!
//!
//! # Crate Organization
//!
//! The entry point for most customers will be [`Client`], which exposes one method for each API
//! offered by Amazon Security Lake. 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`](std::future::Future) that will result in
//! either a successful output or a [`SdkError`](crate::error::SdkError).
//!
//! Some of these API inputs may be structs or enums to provide more complex structured information.
//! These structs and enums live in [`types`](crate::types). There are some simpler types for
//! representing data such as date times or binary blobs that live in [`primitives`](crate::primitives).
//!
//! All types required to configure a client via the [`Config`](crate::Config) struct live
//! in [`config`](crate::config).
//!
//! The [`operation`](crate::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`](crate::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`](std::convert::From) trait.
//!
//! The other modules within this crate are not required for normal usage.

// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use error_meta::Error;

#[doc(inline)]
pub use config::Config;

/// Client for calling Amazon Security Lake.
/// ## Constructing a `Client`
///
/// A [`Config`] is required to construct a client. For most use cases, the [`aws-config`]
/// crate should be used to automatically resolve this config using
/// [`aws_config::load_from_env()`], since this will resolve an [`SdkConfig`] which can be shared
/// across multiple different AWS SDK clients. This config resolution process can be customized
/// by calling [`aws_config::from_env()`] instead, which returns a [`ConfigLoader`] that uses
/// the [builder pattern] to customize the default config.
///
/// In the simplest case, creating a client looks as follows:
/// ```rust,no_run
/// # async fn wrapper() {
/// let config = aws_config::load_from_env().await;
/// let client = aws_sdk_securitylake::Client::new(&config);
/// # }
/// ```
///
/// Occasionally, SDKs may have additional service-specific values that can be set on the [`Config`] that
/// is absent from [`SdkConfig`], or slightly different settings for a specific client may be desired.
/// The [`Builder`](crate::config::Builder) struct implements `From<&SdkConfig>`, so setting these specific settings can be
/// done as follows:
///
/// ```rust,no_run
/// # async fn wrapper() {
/// let sdk_config = ::aws_config::load_from_env().await;
/// let config = aws_sdk_securitylake::config::Builder::from(&sdk_config)
/// # /*
///     .some_service_specific_setting("value")
/// # */
///     .build();
/// # }
/// ```
///
/// See the [`aws-config` docs] and [`Config`] for more information on customizing configuration.
///
/// _Note:_ Client construction is expensive due to connection thread pool initialization, and should
/// be done once at application start-up.
///
/// [`Config`]: crate::Config
/// [`ConfigLoader`]: https://docs.rs/aws-config/*/aws_config/struct.ConfigLoader.html
/// [`SdkConfig`]: https://docs.rs/aws-config/*/aws_config/struct.SdkConfig.html
/// [`aws-config` docs]: https://docs.rs/aws-config/*
/// [`aws-config`]: https://crates.io/crates/aws-config
/// [`aws_config::from_env()`]: https://docs.rs/aws-config/*/aws_config/fn.from_env.html
/// [`aws_config::load_from_env()`]: https://docs.rs/aws-config/*/aws_config/fn.load_from_env.html
/// [builder pattern]: https://rust-lang.github.io/api-guidelines/type-safety.html#builders-enable-construction-of-complex-values-c-builder
/// # Using the `Client`
///
/// A client has a function for every operation that can be performed by the service.
/// For example, the [`CreateDataLakeExceptionSubscription`](crate::operation::create_data_lake_exception_subscription) operation has
/// a [`Client::create_data_lake_exception_subscription`], function which returns a builder for that operation.
/// The fluent builder ultimately has a `send()` function that returns an async future that
/// returns a result, as illustrated below:
///
/// ```rust,ignore
/// let result = client.create_data_lake_exception_subscription()
///     .subscription_protocol("example")
///     .send()
///     .await;
/// ```
///
/// The underlying HTTP requests that get made by this can be modified with the `customize_operation`
/// function on the fluent builder. See the [`customize`](crate::client::customize) module for more
/// information.
pub mod client;

/// Configuration for Amazon Security Lake.
pub mod config;

/// Common errors and error handling utilities.
pub mod error;

mod error_meta;

/// Information about this crate.
pub mod meta;

/// All operations that this crate can perform.
pub mod operation;

/// Primitives such as `Blob` or `DateTime` used by other types.
pub mod primitives;

/// Data structures used by operation inputs/outputs.
pub mod types;

mod auth_plugin;

pub(crate) mod protocol_serde;

mod sdk_feature_tracker;

mod serialization_settings;

mod endpoint_lib;

mod lens;

mod json_errors;

mod serde_util;

#[doc(inline)]
pub use client::Client;