metrics

High-performance application metric tracking

LTS Haskell 20.2:0.4.1.1
Stackage Nightly 2022-11-30:0.4.1.1
Latest on Hackage:0.4.1.1

See all snapshots metrics appears in

MIT licensed by Ian Duncan
Maintained by ian@iankduncan.com
This version can be pinned in stack with:metrics-0.4.1.1@sha256:3e2df5f2b2b0c8142a9d8625f571ce364c4ddf9cc7fa95c515fb2200359fed4b,3607

Module documentation for 0.4.1.1

  • Data
    • Data.HealthCheck
    • Data.Metrics
      • Data.Metrics.Counter
      • Data.Metrics.Gauge
      • Data.Metrics.Histogram
        • Data.Metrics.Histogram.Internal
      • Data.Metrics.Internal
      • Data.Metrics.Meter
        • Data.Metrics.Meter.Internal
      • Data.Metrics.MovingAverage
        • Data.Metrics.MovingAverage.ExponentiallyWeighted
      • Data.Metrics.Registry
      • Data.Metrics.Reporter
        • Data.Metrics.Reporter.StdOut
      • Data.Metrics.Reservoir
        • Data.Metrics.Reservoir.ExponentiallyDecaying
        • Data.Metrics.Reservoir.Uniform
      • Data.Metrics.Snapshot
      • Data.Metrics.Timer
        • Data.Metrics.Timer.Internal
      • Data.Metrics.Types

A port of Coda Hale's excellent metrics library for the JVM

https://github.com/codahale/metrics

For motivation about why you might want to track application metrics, check Coda's talk:

http://www.youtube.com/watch?v=czes-oa0yik

Interesting portions of this package's documentation were also appropriated from the metrics library's documentation:

http://metrics.codahale.com