How to Expose Ingress Metrics and Scrape Them with Prometheus in Kubernetes
This guide walks through exposing the nginx‑ingress metrics port, configuring static scrape jobs, and using a ServiceMonitor CRD to dynamically collect ingress metrics with Prometheus in a Kubernetes cluster, including all required YAML snippets and verification steps.
Expose Ingress Monitoring Port
By default the nginx‑ingress controller exposes metrics on port 10254 at the /metrics path. To make the port reachable, add a Service entry that listens on 10254 and name it https-metrics. Then modify the Deployment to open the pod port 10254 and name it metrics.
spec:
type: ClusterIP
ports:
- name: https-webhook
port: 443
targetPort: webhook
- name: https-metrics
port: 10254
targetPort: 10254 ports:
- name: http
containerPort: 80
protocol: TCP
- name: https
containerPort: 443
protocol: TCP
- name: webhook
containerPort: 8443
protocol: TCP
- name: metrics
containerPort: 10254
protocol: TCPStatic Scrape Configuration
In the prometheus-prometheus.yaml file, use the built‑in additionalScrapeConfigs field to add custom scrape targets. Create a separate file prometheus-additional.yaml with the following content:
- job_name: nginx-ingress
metrics_path: /metrics
scrape_interval: 5s
static_configs:
- targets:
- 172.16.200.102:10254
- 172.16.200.103:10254
- 172.16.200.104:10254Create a secret that contains this file:
$ kubectl create secret generic ingress-nginx-additional-configs --from-file=./prometheus-additional.yaml -n monitoringReference the secret in prometheus-prometheus.yaml under additionalScrapeConfigs:
serviceAccountName: prometheus-k8s
serviceMonitorNamespaceSelector: {}
serviceMonitorSelector: {}
version: v2.11.0
additionalScrapeConfigs:
name: ingress-nginx-additional-configs
key: prometheus-additional.yamlRe‑apply the Prometheus configuration and verify that the new targets appear as up in the Prometheus UI.
Import Grafana dashboard 9614 to visualise the metrics; the data should display correctly.
Dynamic Scrape with ServiceMonitor
When Prometheus is deployed via the Operator, you can use the ServiceMonitor CRD ( servicemonitors.monitoring.coreos.com) to automatically discover ingress‑nginx pods. Create a file ingress-nginx.yaml with the following definition:
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
name: nginx-ingress
namespace: monitoring
labels:
app.kubernetes.io/component: controller
spec:
jobLabel: app.kubernetes.io/component
endpoints:
- port: https-metrics
interval: 10s
selector:
matchLabels:
app.kubernetes.io/component: controller
namespaceSelector:
matchNames:
- ingress-nginxApply the resource:
$ kubectl apply -f ./ingress-nginx.yamlAfter applying, the new ServiceMonitor appears in the Prometheus /targets page.
Finally, import the same Grafana dashboard as before to visualise the dynamically scraped metrics.
References
AMD5 tutorial
CNBlogs example
Prometheus documentation
Signed-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
MaGe Linux Operations
Founded in 2009, MaGe Education is a top Chinese high‑end IT training brand. Its graduates earn 12K+ RMB salaries, and the school has trained tens of thousands of students. It offers high‑pay courses in Linux cloud operations, Python full‑stack, automation, data analysis, AI, and Go high‑concurrency architecture. Thanks to quality courses and a solid reputation, it has talent partnerships with numerous internet firms.
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.
