dipstick 0.7.1

A fast and modular metrics library decoupling app instrumentation from reporting backend. Similar to popular logging frameworks, but with counters and timers. Can be configured for combined outputs (log + statsd), random sampling, local aggregation of metrics, recurrent background publication, etc.
Documentation

crates.io docs.rs Build Status

dipstick a dipstick picture

A one-stop shop metrics library for Rust applications with lots of features,
minimal impact on applications and a choice of output to downstream systems.

Features

Dipstick is a toolkit to help all sorts of application collect and send out metrics. As such, it needs a bit of set up to suit one's needs. Skimming through the handbook and many examples should help you get an idea of the possible configurations.

In short, dipstick-enabled apps can:

  • Send metrics to console, log, statsd, graphite or prometheus (one or many)
  • Locally aggregate the count, sum, mean, min, max and rate of metric values
  • Publish aggregated metrics, on schedule or programmatically
  • Customize output statistics and formatting
  • Define global or scoped (e.g. per request) metrics
  • Statistically sample metrics (statsd)
  • Choose between sync or async operation
  • Choose between buffered or immediate output
  • Switch between metric backends at runtime

For convenience, dipstick builds on stable Rust with minimal, feature-gated dependencies. Performance, safety and ergonomy are also prime concerns.

Non-goals

Dipstick's focus is on metrics collection (input) and forwarding (output). Although it will happily aggregate base statistics, for the sake of simplicity and performance Dipstick will not

  • plot graphs
  • send alerts
  • track histograms

These are all best done by downstream timeseries visualization and monitoring tools.

Show me the code!

Here's a basic aggregating & auto-publish counter metric:

let bucket = AtomicBucket::new();
bucket.set_drain(Stream::to_stdout());
bucket.flush_every(std::time::Duration::from_secs(3));
let counter = bucket.counter("counter_a");
counter.count(8);

Persistent apps wanting to declare static metrics will prefer using the metrics! macro:

metrics! { METRICS = "my_app" => {
        pub COUNTER: Counter = "my_counter";
    }
}

fn main() {
    METRICS.set_target(Graphite::send_to("localhost:2003").unwrap().input());
    COUNTER.count(32);
}

For sample applications see the examples. For documentation see the handbook.

To use Dipstick in your project, add the following line to your Cargo.toml in the [dependencies] section:

dipstick = "0.7.1"

TODO / Missing / Weak points

  • Prometheus support is still primitive (read untested). Only the push gateway approach is supported for now.
  • No backend for "pull" metrics yet. Should at least provide tiny-http listener capability.
  • No quick integration feature with common frameworks (Actix, etc.) is provided yet.
  • Thread Local buckets could be nice.
  • "Rolling" aggregators would be nice for pull metrics. Current bucket impl resets after flush.

License

Dipstick is licensed under the terms of the Apache 2.0 and MIT license.