go-http-metrics knows how to measure http metrics in different metric formats and Go HTTP framework/libs. The metrics measured are based on RED and/or Four golden signals, follow standards and try to be measured in a efficient way.
- Metrics
- Metrics recorder implementations
- Framework compatibility middlewares
- Getting Started
- Prometheus query examples
- Options
- Benchmarks
The metrics obtained with this middleware are the most important ones for a HTTP service.
- Records the duration of the requests(with: code, handler, method).
- Records the count of the requests(with: code, handler, method).
- Records the size of the responses(with: code, handler, method).
- Records the number requests being handled concurrently at a given time a.k.a inflight requests (with: handler).
go-http-metrics is easy to extend to different metric backends by implementing metrics.Recorder interface.
The middleware is mainly focused to be compatible with Go std library using http.Handler, but it comes with helpers to get middlewares for other frameworks or libraries.
When go-http-metrics is imported as a dependency, it will only import the libraries being used, this is safe because each lib/framework is in its own package. More information here and here
It supports any framework that supports http.Handler provider type middleware func(http.Handler) http.Handler (e.g Chi, Alice, Gorilla...). Use std.HandlerProvider
A simple example that uses Prometheus as the recorder with the standard Go handler.
package main
import (
"log"
"net/http"
"github.com/prometheus/client_golang/prometheus/promhttp"
metrics "github.com/slok/go-http-metrics/metrics/prometheus"
"github.com/slok/go-http-metrics/middleware"
middlewarestd "github.com/slok/go-http-metrics/middleware/std"
)
func main() {
// Create our middleware.
mdlw := middleware.New(middleware.Config{
Recorder: metrics.NewRecorder(metrics.Config{}),
})
// Our handler.
h := http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
w.WriteHeader(http.StatusOK)
w.Write([]byte("hello world!"))
})
h = middlewarestd.Handler("", mdlw, h)
// Serve metrics.
log.Printf("serving metrics at: %s", ":9090")
go http.ListenAndServe(":9090", promhttp.Handler())
// Serve our handler.
log.Printf("listening at: %s", ":8080")
if err := http.ListenAndServe(":8080", h); err != nil {
log.Panicf("error while serving: %s", err)
}
}For more examples check the examples. default and custom are the examples for Go net/http std library users.
Get the request rate by handler:
sum(
rate(http_request_duration_seconds_count[30s])
) by (handler)
Get the request error rate:
rate(http_request_duration_seconds_count{code=~"5.."}[30s])
Get percentile 99 of the whole service:
histogram_quantile(0.99,
rate(http_request_duration_seconds_bucket[5m]))
Get percentile 90 of each handler:
histogram_quantile(0.9,
sum(
rate(http_request_duration_seconds_bucket[10m])
) by (handler, le)
)
The factory options are the ones that are passed in the moment of creating the middleware factory using the middleware.Config object.
This is the implementation of the metrics backend, by default it's a dummy recorder.
This is an optional argument that can be used to set a specific service on all the middleware metrics, this is helpful when the service uses multiple middlewares on the same app, for example for the HTTP api server and the metrics server. This also gives the ability to use the same recorder with different middlewares.
Storing all the status codes could increase the cardinality of the metrics, usually this is not a common case because the used status codes by a service are not too much and are finite, but some services use a lot of different status codes, grouping the status on the \dxx form could impact the performance (in a good way) of the queries on Prometheus (as they are already aggregated), on the other hand it losses detail. For example the metrics code code="401", code="404", code="403" with this enabled option would end being code="4xx" label. By default is disabled.
This setting will disable measuring the size of the responses. By default measuring the size is enabled.
This settings will disable measuring the number of requests being handled concurrently by the handlers.
One of the options that you need to pass when wrapping the handler with the middleware is handlerID, this has 2 working ways.
-
If an empty string is passed
mdwr.Handler("", h)it will get thehandlerlabel from the url path. This will create very high cardnialty on the metrics because/p/123/dashboard/1,/p/123/dashboard/2and/p/9821/dashboard/1would have differenthandlerlabels. This method is only recomended when the URLs are fixed (not dynamic or don't have parameters on the path). -
If a predefined handler ID is passed,
mdwr.Handler("/p/:userID/dashboard/:page", h)this will keep cardinality low because/p/123/dashboard/1,/p/123/dashboard/2and/p/9821/dashboard/1would have the samehandlerlabel on the metrics.
There are different parameters to set up your middleware factory, you can check everything on the docs and see the usage in the examples.
This option will make exposed metrics have a {PREFIX}_ in fornt of the metric. For example if a regular exposed metric is http_request_duration_seconds_count and I use Prefix: batman my exposed metric will be batman_http_request_duration_seconds_count. By default this will be disabled or empty, but can be useful if all the metrics of the app are prefixed with the app name.
DurationBuckets are the buckets used for the request duration histogram metric, by default it will use Prometheus defaults, this is from 5ms to 10s, on a regular HTTP service this is very common and in most cases this default works perfect, but on some cases where the latency is very low or very high due the nature of the service, this could be changed to measure a different range of time. Example, from 500ms to 320s Buckets: []float64{.5, 1, 2.5, 5, 10, 20, 40, 80, 160, 320}. Is not adviced to use more than 10 buckets.
This works the same as the DurationBuckets but for the metric that measures the size of the responses. It's measured in bytes and by default goes from 1B to 1GB.
The Prometheus registry to use, by default it will use Prometheus global registry (the default one on Prometheus library).
The label names of the Prometheus metrics can be configured using HandlerIDLabel, StatusCodeLabel, MethodLabel...
Same option as the Prometheus recorder.
Same option as the Prometheus recorder.
Same options as the Prometheus recorder.
This Option is used to unregister the Recorder views before are being registered, this is option is mainly due to the nature of OpenCensus implementation and the huge usage fo global state making impossible to run multiple tests. On regular usage of the library this setting is very rare that needs to be used.