Metrics

Metrics is a port of the eponymous Java library to help you understand what your code is doing in production.

Metrics provides a set of measurement tools for various scenarios:

• Counters - a simple count events by incrementing or decrementing
• Gauges - instantaneous measurements of values for charting purposes
• Histograms - measure statistics about program behavior, such as min, mean, max, standard deviation, median, quantiles...
• Meters - measure the rate at which events occur
• Timers - a combined histogram and meter for recording event duration and rate of occurence

Contributing

PRs are welcome! Issues are located in the GitHub issue tracker.

Areas that could use contributions:

• Performance improvements for metrics under high contention
• Any area that's missing parity with the Java library & makes sense for Haskell
• Examples in the docs
• More reporters! Would pretty much auto-merge support for:
  • Datadog
  • StatsD
  • Riemann
  • Librato
  • Graphite
  • InfluxDB
  • ... anything else I've forgotten that's reasonably popular
• WAI middleware
• http-client integration
• persistent / postgresql-simple integration
• Automatic tracking for RTS / GC metrics

License

Copyright (c) 2013-2017 Ian Duncan

Published under MIT License, see LICENSE