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metrics_cloudwatch_embedded

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Purpose

Provide a backend for the metrics facade crate, to emit metrics in CloudWatch Embedded Metrics Format

Simple Example

let metrics = metrics_cloudwatch_embedded::Builder::new()
    .cloudwatch_namespace("MyApplication")
    .init()
    .unwrap();

metrics::counter!("requests", "Method" => "Default").increment(1);

metrics
    .set_property("RequestId", "ABC123")
    .flush(std::io::stdout());

AWS Lambda Example

The Lambda Runtime intergration feature handles flushing metrics after each invoke via either run() alternatives or MetricService which implements the tower::Service trait.

It also provides optional helpers for:

  • emiting a metric on cold starts
  • wrapping cold starts in a tracing span
  • decorating metric documents with request id and/or x-ray trace id

In your Cargo.toml add:

metrics = "0.24"
metrics_cloudwatch_embedded = {  version = "0.5.1", features = ["lambda"] }
tracing-subscriber = { version = "0.3", default-features = false, features = ["fmt", "env-filter", "json"] }

main.rs:

use lambda_runtime::{Error, LambdaEvent};
use metrics_cloudwatch_embedded::lambda::handler::run;
use serde::{Deserialize, Serialize};
use tracing::{info, info_span};

#[derive(Deserialize)]
struct Request {}

#[derive(Serialize)]
struct Response {
    req_id: String,
}

async fn function_handler(event: LambdaEvent<Request>) -> Result<Response, Error> {
    let resp = Response {
        req_id: event.context.request_id.clone(),
    };

    info!("Hello from function_handler");

    metrics::counter!("requests", "Method" => "Default").increment(1);

    Ok(resp)
}

#[tokio::main]
async fn main() -> Result<(), Error> {
    tracing_subscriber::fmt()
        .json()
        .with_env_filter(tracing_subscriber::filter::EnvFilter::from_default_env())
        .with_target(false)
        .with_current_span(false)
        .without_time()
        .init();

    let metrics = metrics_cloudwatch_embedded::Builder::new()
        .cloudwatch_namespace("MetricsTest")
        .with_dimension("function", std::env::var("AWS_LAMBDA_FUNCTION_NAME").unwrap())
        .lambda_cold_start_span(info_span!("cold start").entered())
        .lambda_cold_start_metric("ColdStart")
        .with_lambda_request_id("RequestId")
        .init()
        .unwrap();

    info!("Hello from main");

    run(metrics, function_handler).await
}

CloudWatch log after a single invoke (cold start):

INIT_START Runtime Version: provided:al2.v19	Runtime Version ARN: arn:aws:lambda:us-west-2::runtime:d1007133cb0d993d9a42f9fc10442cede0efec65d732c7943b51ebb979b8f3f8
{"level":"INFO","fields":{"message":"Hello from main"},"spans":[{"name":"cold start"}]}
START RequestId: fce53486-160d-41e8-b8c3-8ef0fd0f4051 Version: $LATEST
{"_aws":{"Timestamp":1688294472338,"CloudWatchMetrics":[{"Namespace":"MetricsTest","Dimensions":[["Function"]],"Metrics":[{"Name":"ColdStart","Unit":"Count"}]}]},"Function":"MetricsTest","RequestId":"fce53486-160d-41e8-b8c3-8ef0fd0f4051","ColdStart":1}
{"level":"INFO","fields":{"message":"Hello from function_handler"},"spans":[{"name":"cold start"},{"requestId":"fce53486-160d-41e8-b8c3-8ef0fd0f4051","xrayTraceId":"Root=1-64a15448-4aa914a00d66aa066325d7e3;Parent=60a7d0c22fb2f001;Sampled=0;Lineage=16f3a795:0","name":"Lambda runtime invoke"}]}
{"_aws":{"Timestamp":1688294472338,"CloudWatchMetrics":[{"Namespace":"MetricsTest","Dimensions":[["Function","Method"]],"Metrics":[{"Name":"requests"}]}]},"Function":"MetricsTest","Method":"Default","RequestId":"fce53486-160d-41e8-b8c3-8ef0fd0f4051","requests":1}
END RequestId: fce53486-160d-41e8-b8c3-8ef0fd0f4051
REPORT RequestId: fce53486-160d-41e8-b8c3-8ef0fd0f4051 Duration: 1.22 ms Billed Duration: 11 ms Memory Size: 128 MB Max Memory Used: 13 MB Init Duration: 8.99 ms

Limitations

  • Histograms retain up to 100 values (the maximum for a single metric document) between calls to collector::Collector::flush, overflow will report an error via the tracing crate
  • Dimensions set at initialization via Builder::with_dimension(...) may not overlap with metric labels
  • Only the subset of metric units in metrics::Unit are supported https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_MetricDatum.html
  • Registering different metric types with the same metrics::Key will fail with an error via the tracing crate
  • The Embedded Metric Format supports a maximum of 30 dimensions per metric, attempting to register a metric with more than 30 dimensions/labels will fail with an error via the tracing crate

Supported Rust Versions (MSRV)

This crate requires a minimum of Rust 1.71.1, and is not guaranteed to build on compiler versions earlier than that.

License

This project is licensed under the Apache-2.0 License. Apache-2.0 was chosen to match the Lambda Runtime

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be licensed as above, without any additional terms or conditions.

Feedback

Your feedback is important, if you evalute or use this crate please leave a post in our Github Feedback Discussion

Thanks

  • Simon Andersson (ramn) and contributors - For the metrics_cloudwatch crate I used as a reference
  • Toby Lawrence (tobz) - For answering my metrics crate questions before I even had something working