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.
Amazon RDS Performance Insights enables you to monitor and explore different dimensions of database load based on data captured from a running DB instance. The guide provides detailed information about Performance Insights data types, parameters and errors.
When Performance Insights is enabled, the Amazon RDS Performance Insights API provides visibility into the performance of your DB instance. Amazon CloudWatch provides the authoritative source for AWS service-vended monitoring metrics. Performance Insights offers a domain-specific view of DB load.
DB load is measured as Average Active Sessions. Performance Insights provides the data to API consumers as a two-dimensional time-series dataset. The time dimension provides DB load data for each time point in the queried time range. Each time point decomposes overall load in relation to the requested dimensions, measured at that time point. Examples include SQL, Wait event, User, and Host. - To learn more about Performance Insights and Amazon Aurora DB instances, go to the Amazon Aurora User Guide. - To learn more about Performance Insights and Amazon RDS DB instances, go to the Amazon RDS User Guide.
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-pi to
your project, add the following to your Cargo.toml file:
toml
[dependencies]
aws-config = "0.4.1"
aws-sdk-pi = "0.4.1"
tokio = { version = "1", features = ["full"] }
Until the SDK is released, we will be adding information about using the SDK to the Guide. Feel free to suggest additional sections for the guide by opening an issue and describing what you are trying to do.
This project is licensed under the Apache-2.0 License.