A simple and modern, type safe, performance focused, idiomatic Haskell client for Prometheus monitoring. Specifically there is no use of unsafe IO or manual ByteString construction from lists of bytes. Batteries-included web server.
A key design element of this library is that the RegistryT monad transformer is only required for registering new time series. Once the time series is registered, new data samples may just be added in the IO monad.
Note: Version 0.* supports Prometheus v1.0 and version 2.* supports Prometheus v2.0.
{-# LANGUAGE OverloadedStrings #-}
module Example where
import Control.Monad.IO.Class (liftIO)
import System.Metrics.Prometheus.Http.Scrape (serveHttpTextMetricsT)
import System.Metrics.Prometheus.Concurrent.RegistryT
import System.Metrics.Prometheus.Metric.Counter (inc)
import System.Metrics.Prometheus.MetricId
main :: IO ()
main = runRegistryT $ do
-- Labels can be defined as lists or added to an empty label set
connectSuccessGauge <- registerGauge "example_connections" (fromList [("login", "success")])
connectFailureGauge <- registerGauge "example_connections" (addLabel "login" "failure" mempty)
connectCounter <- registerCounter "example_connection_total" mempty
latencyHistogram <- registerHistogram "example_round_trip_latency_ms" mempty [10, 20..100]
liftIO $ inc connectCounter -- increment a counter
-- [...] pass metric handles to the rest of the app
serveHttpTextMetricsT 8080 ["metrics"] -- http://localhost:8080/metric serverA Registry and StateT-based RegistryT are available for unit
testing or generating lists of [IO a] actions that can be
sequenced and returned from pure code to be applied.
- Implement help docstrings.
- Implement GHC-specific metrics.
- Implement summary metric.
- Encode name and labels on register.
- Implement ReaderT for Concurrent Registry.
- Library documentation and example.
- Name and label validation
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent