I've started a Prometheus server at localhost:57475/metrics
:
using the following Go code:
package main
import (
"net/http"
"contrib.go.opencensus.io/exporter/prometheus"
log "github.com/sirupsen/logrus"
"go.opencensus.io/plugin/ochttp"
"go.opencensus.io/stats/view"
)
func main() {
stop := make(chan struct{})
server := &http.Server{Addr: ":8080"}
statsMux := http.NewServeMux()
statsServer := &http.Server{Handler: statsMux, Addr: ":57475"}
if err := view.Register(ochttp.DefaultServerViews...); err != nil {
log.WithError(err).Fatal("register HTTP metrics view")
}
exporter, err := prometheus.NewExporter(prometheus.Options{
Namespace: "default",
})
if err != nil {
log.WithError(err).Fatal("create Prometheus exporter")
}
view.RegisterExporter(exporter)
statsMux.Handle("/metrics", exporter)
originalHandler := http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
w.Write([]byte("Hello, World!"))
})
och := &ochttp.Handler{
Handler: originalHandler,
}
server.Handler = och
go func() {
log.Info("Starting stats server...")
if err := statsServer.ListenAndServe(); err != nil {
log.WithError(err).Fatal("listen and serve stats")
}
}()
go func() {
log.Info("Starting server...")
if err := server.ListenAndServe(); err != nil {
log.WithError(err).Fatal("listen and serve service endpoints")
}
}()
<-stop
}
I've also started Grafana in a container using the following command (following https://grafana.com/docs/installation/docker/):
> docker run --detach --publish 3000:3000 --env "GF_SECURITY_ADMIN_PASSWORD=secret" grafana/grafana
2a17ad2bcc05e2955190129b981b3329cd2c5e89098e28b443337ac79ed607f2
In Grafana, I would like to connect to the Prometheus exporter running on my Mac localhost
. Following https://docs.docker.com/docker-for-mac/networking/, I've tried to use the special DNS name host.docker.internal
, so specifying the URL as http://host.docker.internal:57475/metrics
. However, this results in an HTTP Error Not Found
when I click "Save & Test":
Any idea why this is not working?
Instead of using the special DNS name host.docker.internal
, I tried combining the server and Grafana into a Docker Compose multi-container application and using the Docker bridge to connect them, but this also didn't work. With the follwoing directory structure:
.
├── docker-compose.yml
└── server
├── Dockerfile
├── go.mod
├── go.sum
└── main.go
and the following docker-compose.yml
:
version: '3'
services:
server:
build: ./server
ports:
- "8080:8080"
- "57475:57475"
grafana:
image: grafana/grafana
ports:
- "3000:3000"
and the following Dockerfile
:
FROM golang:1.12
WORKDIR /go/src/app
COPY . .
RUN go get -d -v ./...
RUN go install -v ./...
CMD ["app"]
If I attach to the Grafana container and curl server:8080
or server:57475/metrics
, I get a response:
useprometheus> docker exec -it --user root useprometheus_grafana_1 /bin/ash
/usr/share/grafana # apk add curl
fetch http://dl-cdn.alpinelinux.org/alpine/v3.10/main/x86_64/APKINDEX.tar.gz
fetch http://dl-cdn.alpinelinux.org/alpine/v3.10/community/x86_64/APKINDEX.tar.gz
(1/3) Installing nghttp2-libs (1.39.2-r0)
(2/3) Installing libcurl (7.66.0-r0)
(3/3) Installing curl (7.66.0-r0)
Executing busybox-1.30.1-r2.trigger
OK: 17 MiB in 24 packages
/usr/share/grafana # curl server:8080
Hello, World!/usr/share/grafana # curl server:57475/metrics
# HELP default_opencensus_io_http_server_latency Latency distribution of HTTP requests
# TYPE default_opencensus_io_http_server_latency histogram
default_opencensus_io_http_server_latency_bucket{le="1"} 1
default_opencensus_io_http_server_latency_bucket{le="2"} 1
default_opencensus_io_http_server_latency_bucket{le="3"} 1
default_opencensus_io_http_server_latency_bucket{le="4"} 1
However, if I try to add the same URL in the Grafana admin, I get the same error:
In other words, although I am able to curl
this endpoint from the Grafana container, I can't use it as a data source URL in the Grafana dashboard, making me think this is something Grafana-specific. Any idea why this is not working?
It turns out I didn't quite understand how Prometheus works. The Go application in the example creates a Prometheus exporter, which still has to be scraped by a Prometheus server, which in turn is the data source for Grafana.
I modified the directory structure to be like this:
.
├── docker-compose.yml
├── prometheus
│ ├── Dockerfile
│ └── prometheus.yml
└── server
├── Dockerfile
├── go.mod
├── go.sum
└── main.go
where docker-compose.yml
is
version: '3'
services:
server:
build: ./server
ports:
- "8080:8080"
- "57475:57475"
grafana:
image: grafana/grafana
ports:
- "3000:3000"
prometheus:
build: ./prometheus
ports:
- "9090:9090"
and the prometheus/Dockerfile
is
FROM prom/prometheus
ADD prometheus.yml /etc/prometheus
and the prometheus/prometheus.yml
is
global:
scrape_interval: 15s
scrape_configs:
- job_name: 'server'
static_configs:
- targets: ['server:57475']
Now I'm able to add prometheus:9090
as a data source URL: