How to collect metrics in your Kubernetes cluster

This repository is here to guide you through the GitHub tutorial that goes hand-in-hand with a video available on YouTube and a detailed blog post on my website. Together, these resources are designed to give you a complete understanding of the topic.

Here are the links to the related assets:

• YouTube Video: How to collect metrics in K8s
• Blog Post: How to collect metrics in a Kubernetes cluster

Feel free to explore the materials, star the repository, and follow along at your own pace.

K8s and Prometheus

This repository showcases the usage of Prometheus by using GKE with the HipsterShop

Prerequisite

The following tools need to be installed on your machine :

• jq
• kubectl
• git
• gcloud (if you're using GKE)
• Helm

1.Create a Google Cloud Platform Project

PROJECT_ID="<your-project-id>"
gcloud services enable container.googleapis.com --project ${PROJECT_ID}
gcloud services enable monitoring.googleapis.com \
cloudtrace.googleapis.com \
clouddebugger.googleapis.com \
cloudprofiler.googleapis.com \
--project ${PROJECT_ID}

2.Create a GKE cluster

ZONE=us-central1-b
gcloud containr clusters create isitobservable \
--project=${PROJECT_ID} --zone=${ZONE} \
--machine-type=e2-standard-2 --num-nodes=4

3.Clone Github repo

git clone https://github.com/isItObservable/Episode1---Kubernetes-Prometheus
cd Episode1---Kubernetes-Prometheus

4. Deploy Prometheus

HipsterShop

cd hipstershop
./setup.sh

Prometheus

helm install prometheus stable/prometheus-operator

Expose Grafana

kubectl get svc
kubectl edit svc prometheus-grafana

change to type NodePort

apiVersion: v1
kind: Service
metadata:
  annotations:
    meta.helm.sh/release-name: prometheus
    meta.helm.sh/release-namespace: default
  labels:
    app.kubernetes.io/instance: prometheus
    app.kubernetes.io/managed-by: Helm
    app.kubernetes.io/name: grafana
    app.kubernetes.io/version: 7.0.3
    helm.sh/chart: grafana-5.3.0
  name: prometheus-grafana
  namespace: default
  resourceVersion: "89873265"
  selfLink: /api/v1/namespaces/default/services/prometheus-grafana
spec:
  clusterIP: IPADRESSS
  externalTrafficPolicy: Cluster
  ports:
  - name: service
    nodePort: 30806
    port: 80
    protocol: TCP
    targetPort: 3000
  selector:
    app.kubernetes.io/instance: prometheus
    app.kubernetes.io/name: grafana
  sessionAffinity: None
  type: NodePort
status:
  loadBalancer: {}

Deploy the ingress by making sure to replace the service name of your Grafana

cd ..\grafana
kubectl apply -f ingress.yaml

Get the login user and password of Grafana

• For the password :

kubectl get secret --namespace default prometheus-grafana -o jsonpath="{.data.admin-password}" | base64 --decode

• For the login user:

kubectl get secret --namespace default prometheus-grafana -o jsonpath="{.data.admin-user}" | base64 --decode