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Microservices Health Monitoring with Kubernetes, Prometheus and Grafana

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Pragya Keshap answered on February 3, 2023 Popularity 1/10 Helpfulness 1/10

answer Microservices Health Monitoring with Kubernetes, Prometheus and Grafana

Microservices Health Monitoring with Kubernetes, Prometheus and Grafana

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Use Liveness and Readiness Probes

Kubernetes provides liveness and readiness probes that can be used to monitor the health of

individual microservices.

▪ Liveness probes check to see if a microservice is still running, and readiness probes check to

see if a microservice is ready to receive traffic.

▪ Use Monitoring Tools

Monitoring tools can be used to monitor the health and performance of microservices that can

be integrated with Kubernetes to provide alerts or notifications when issues arise. I.e.

Prometheus, Grafana, Datadog.

▪ Use Log Analysis Tools

Analyze log messages generated by your microservices and identify issues or trends. Elastic

Stack (Elasticsearch, Logstash, Kibana), Fluentd, Splunk.

▪ Set up Alerts and Notifications

Setting up alerts and notifications can help to ensure that relevant parties are notified when

issues arise, allowing them to be addressed quickly. Slack, Teams, Email, SMS.

---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: grafana-pvc
spec:
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 1Gi
---
apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app: grafana
  name: grafana
spec:
  selector:
    matchLabels:
      app: grafana
  template:
    metadata:
      labels:
        app: grafana
    spec:
      securityContext:
        fsGroup: 472
        supplementalGroups:
        - 0    
      containers:
        - name: grafana
          image: grafana/grafana:7.5.2
          imagePullPolicy: IfNotPresent
          ports:
            - containerPort: 3000
              name: http-grafana
              protocol: TCP
          readinessProbe:
            failureThreshold: 3
            httpGet:
              path: /robots.txt
              port: 3000
              scheme: HTTP
            initialDelaySeconds: 10
            periodSeconds: 30
            successThreshold: 1
            timeoutSeconds: 2
          livenessProbe:
            failureThreshold: 3
            initialDelaySeconds: 30
            periodSeconds: 10
            successThreshold: 1
            tcpSocket:
              port: 3000
            timeoutSeconds: 1            
          resources:
            requests:
              cpu: 250m
              memory: 750Mi
          volumeMounts:
            - mountPath: /var/lib/grafana
              name: grafana-pv
      volumes:
        - name: grafana-pv
          persistentVolumeClaim:
            claimName: grafana-pvc
---
apiVersion: v1
kind: Service
metadata:
  name: grafana
spec:
  ports:
    - port: 3000
      protocol: TCP
      targetPort: http-grafana
  selector:
    app: grafana
  sessionAffinity: None
  type: LoadBalancer

https://grafana.com/solutions/kubernetes/

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Contributed on Feb 03 2023

Pragya Keshap

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Microservices Health Monitoring with Kubernetes, Prometheus and Grafana

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