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Monitor HAProxy using Prometheus
This tutorial will show you how to monitor Voyager managed HAProxy pods using builtin Prometheus scraper.
Before You Begin
At first, you need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by using Minikube.
Now, deploy Voyager operator following instructions here.
To keep things isolated, this tutorial uses a separate namespace called demo
throughout this tutorial. Run the following command to prepare your cluster for this tutorial:
$ kubectl create namespace demo
namespace "demo" created
$ kubectl get ns
NAME STATUS AGE
default Active 45m
demo Active 10s
kube-public Active 45m
voyager Active 45m
Note that the yaml files that are used in this tutorial, stored in docs/examples folder in GitHub repository voyagermesh/voyager.
Create Ingress
We are going to use a nginx server as the backend. To deploy nginx server, run the following commands:
kubectl run nginx --image=nginx -n demo
kubectl expose deployment nginx --name=web --port=80 --target-port=80 -n demo
Now create Ingress ing.yaml
$ kubectl apply -f https://raw.githubusercontent.com/voyagermesh/voyager/v2023.02.22/docs/examples/monitoring/builtin-prometheus/ing.yaml
ingress "stats-ing" created
apiVersion: voyager.appscode.com/v1
kind: Ingress
metadata:
name: stats-ing
namespace: demo
annotations:
ingress.appscode.com/type: 'NodePort'
ingress.appscode.com/stats: 'true'
ingress.appscode.com/monitoring-agent: 'prometheus.io/builtin'
spec:
rules:
- host: voyager.appscode.test
http:
paths:
- path: /
backend:
service:
name: web
port:
number: 80
Voyager operator watches for Ingress
objects using Kubernetes api. When a Ingress
object is created, Voyager operator will create a new HAProxy deployment and a NodePort Service with name voyager-{ingress-name}
. Since ingress.appscode.com/stats
annotation was configured, a stats service object is configured accordingly. Here,
Keys | Value | Default | Description |
---|---|---|---|
ingress.appscode.com/stats | bool | "false" | Required . If set, HAProxy stats will be exposed |
ingress.appscode.com/monitoring-agent | string | Required . Indicates the monitoring agent used. Here built-in scraper in Prometheus is used to monitor the HAProxy pods. Voyager operator will configure the stats service in a way that the Prometheus server will automatically find out the service endpoint and scrape metrics from exporter. |
You can verify it running the following commands:
$ kubectl get pods,svc -n demo
NAME READY STATUS RESTARTS AGE
po/nginx-8586cf59-r2m59 1/1 Running 0 1m
po/voyager-stats-ing-5bf6b54949-5zs4x 2/2 Running 0 1m
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
svc/voyager-stats-ing NodePort 10.111.51.103 <none> 80:31094/TCP 1m
svc/voyager-stats-ing-stats ClusterIP 10.97.119.249 <none> 56789/TCP,56790/TCP 1m
svc/web ClusterIP 10.98.249.140 <none> 80/TCP 1m
$ kubectl get svc -n demo voyager-stats-ing-stats -o yaml
apiVersion: v1
kind: Service
metadata:
annotations:
ingress.appscode.com/origin-api-schema: voyager.appscode.com/v1
ingress.appscode.com/origin-name: stats-ing
monitoring.appscode.com/agent: prometheus.io/builtin
prometheus.io/path: /voyager.appscode.com/v1/namespaces/demo/ingresses/stats-ing/metrics
prometheus.io/port: "56790"
prometheus.io/scrape: "true"
creationTimestamp: 2018-02-25T21:48:24Z
labels:
feature: stats
origin: voyager
origin-api-group: voyager.appscode.com
origin-name: stats-ing
name: voyager-stats-ing-stats
namespace: demo
resourceVersion: "317"
selfLink: /api/v1/namespaces/demo/services/voyager-stats-ing-stats
uid: 9ac02c7c-1a75-11e8-a133-080027640ad5
spec:
clusterIP: 10.97.119.249
ports:
- name: stats
port: 56789
protocol: TCP
targetPort: stats
- name: http
port: 56790
protocol: TCP
targetPort: http
selector:
origin: voyager
origin-api-group: voyager.appscode.com
origin-name: stats-ing
sessionAffinity: None
type: ClusterIP
status:
loadBalancer: {}
We can see that the service contains these specific annotations. The Prometheus server will discover the exporter using these specifications.
prometheus.io/path: ...
prometheus.io/port: ...
prometheus.io/scrape: ...
Deploy and configure Prometheus Server
The Prometheus server is needed to configure so that it can discover endpoints of services. If a Prometheus server is already running in cluster and if it is configured in a way that it can discover service endpoints, no extra configuration will be needed. If there is no existing Prometheus server running, rest of this tutorial will create a Prometheus server with appropriate configuration.
The configuration file to Prometheus-Server
will be provided by ConfigMap
. The below config map will be created:
apiVersion: v1
kind: ConfigMap
metadata:
name: prometheus-server-conf
labels:
name: prometheus-server-conf
namespace: demo
data:
prometheus.yml: |-
global:
scrape_interval: 5s
evaluation_interval: 5s
scrape_configs:
- job_name: 'kubernetes-service-endpoints'
kubernetes_sd_configs:
- role: endpoints
relabel_configs:
- source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape]
action: keep
regex: true
- source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scheme]
action: replace
target_label: __scheme__
regex: (https?)
- source_labels: [__meta_kubernetes_service_annotation_prometheus_io_path]
action: replace
target_label: __metrics_path__
regex: (.+)
- source_labels: [__address__, __meta_kubernetes_service_annotation_prometheus_io_port]
action: replace
target_label: __address__
regex: ([^:]+)(?::\d+)?;(\d+)
replacement: $1:$2
- action: labelmap
regex: __meta_kubernetes_service_label_(.+)
- source_labels: [__meta_kubernetes_namespace]
action: replace
target_label: kubernetes_namespace
- source_labels: [__meta_kubernetes_service_name]
action: replace
target_label: kubernetes_name
$ kubectl create -f https://raw.githubusercontent.com/voyagermesh/voyager/v2023.02.22/docs/examples/monitoring/builtin-prometheus/demo-1.yaml
configmap "prometheus-server-conf" created
Now, the below yaml is used to deploy Prometheus in kubernetes :
apiVersion: apps/v1
kind: Deployment
metadata:
name: prometheus-server
namespace: demo
spec:
replicas: 1
selector:
matchLabels:
app: prometheus-server
template:
metadata:
labels:
app: prometheus-server
spec:
containers:
- name: prometheus
image: prom/prometheus:v2.1.0
args:
- "--config.file=/etc/prometheus/prometheus.yml"
- "--storage.tsdb.path=/prometheus/"
ports:
- containerPort: 9090
volumeMounts:
- name: prometheus-config-volume
mountPath: /etc/prometheus/
- name: prometheus-storage-volume
mountPath: /prometheus/
volumes:
- name: prometheus-config-volume
configMap:
defaultMode: 420
name: prometheus-server-conf
- name: prometheus-storage-volume
emptyDir: {}
Now, run the following command to deploy prometheus in kubernetes:
$ kubectl create -f https://raw.githubusercontent.com/voyagermesh/voyager/v2023.02.22/docs/examples/monitoring/builtin-prometheus/demo-2.yaml
clusterrole "prometheus-server" created
serviceaccount "prometheus-server" created
clusterrolebinding "prometheus-server" created
deployment "prometheus-server" created
service "prometheus-service" created
Prometheus Dashboard
Now to open prometheus dashboard on Browser:
$ kubectl get svc -n demo
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
voyager ClusterIP None <none> <none> 59m
mgo-mon-prometheus ClusterIP 10.104.88.103 <none> 27017/TCP,56790/TCP 59m
prometheus-service LoadBalancer 10.103.201.246 <pending> 9090:30901/TCP 8s
$ minikube ip
192.168.99.100
$ minikube service prometheus-service -n demo --url
http://192.168.99.100:30901
Now, open your browser and go to the following URL: http://{minikube-ip}:{prometheus-svc-nodeport} to visit Prometheus Dashboard. According to the above example, this URL will be http://192.168.99.100:30901.
Now, if you go the Prometheus Dashboard, you should see that the HAProxy pod as one of the targets.
Cleaning up
To cleanup the Kubernetes resources created by this tutorial, run:
$ kubectl delete ns demo
namespace "demo" deleted