Springboot And Minikube : Deployment, Monitoring and Logging

Ingress Gateway: Simple fanout
Student Service
Rating Service

Requirements

Java: JDK 1.8
Maven Build
Docker
Kubernetes: Minikube on local

Part 1 Deployment

Build Student Service

$ cd rating-service
$ mvn package

Create docker images for Student Service and push Docker Hub

$ cd student-service
$ docker build -t  ashishkamat2791/student-service .
$ docker push ashishkamat2791/student-service

Build Rating Service

$ cd rating-service
$ mvn package

Create docker images for Rating Service and push Docker Hub

$ cd rating-service
$ docker build -t ashishkamat2791/rating-service .
$ docker push ashishkamat2791/rating-service

Start Minikube

$ minikube start --cpus=8 --memory=12000 (needed to deploy ELK stack)

Create student-service deployment

$ cd devops/deployment
$ kubectl create -f deployment-student.yml

Create rating-service deployment

$ cd devops/deployment
$ kubectl create -f deployment-rating.yml

Create and Expose student-service

$ kubectl expose deployment student-service --type=NodePort

or

$ cd devops
$ kubectl create -f service-student.yml

Create and Expose rating-service

$ kubectl expose deployment rating-service --type=NodePort

or

$ cd devops
$ kubectl create -f service-rating.yml

Check service

$ minikube service student-service --url

Give me url http://192.168.99.100:30676 and Check rest-api 192.168.99.100:30676/hi

$ kubectl describe service student-service

Ingress Controller

Create Ingress

Create Ingress

$ cd devops
$ kubectl create -f ingress.yml

Check Ingress

For student

 curl -v http://192.168.64.11/student/hi

For rating

 curl -v http://192.168.64.11/rating/check

Enable Ingress

$ minikube addons enable ingress

$ minikube ip
1192.168.64.11

Part 2 : Monitoring

create namespace monitoring

$ kubectl create ns monitoring

Deploy prometheus

$ cd devpos/monitoring
$ helm install prometheus -f  prometheus/values.yml stable/prometheus  --namespace monitoring

Deploy configmap for autoconnect prometheus

$ cd devops/monitoring
$ kubectl apply -f grafana/config.yml

Deploy Grafana

$ cd devops/monitoring
$ helm install  grafana -f  grafana/values.yml stable/grafana  --namespace monitoring

Get Grafana password (username: admin)

kubectl get secret \
    --namespace monitoring grafana \
    -o jsonpath="{.data.admin-password}" \
    | base64 --decode ; echo

Access Grafana

$ export POD_NAME=$(kubectl get pods --namespace monitoring -l "app=grafana,release=grafana" -o jsonpath="{.items[0].metadata.name}")
$ kubectl --namespace monitoring port-forward $POD_NAME 3000

after login add following dashboard grafana.com/grafana/dashboards/4701

Part 3: Logging

adding elastic repo

helm repo add elastic https://Helm.elastic.co

1. creating elastic-search cluster

$ cd devops/logging
$ helm install elasticsearch elastic/elasticsearch -f elasticsearch/values.yaml -n logging

wait till you get this

kubectl get pods -n logging                                                
NAME                     READY   STATUS    RESTARTS   AGE
elasticsearch-master-0   1/1     Running   0          3m35s
elasticsearch-master-1   1/1     Running   0          3m35s
elasticsearch-master-2   1/1     Running   0          3m35s

test elasticsearch is up

kubectl port-forward svc/elasticsearch-master 9200

You should get something like below in response

{
  "name" : "elasticsearch-master-2",
  "cluster_name" : "elasticsearch",
  "cluster_uuid" : "VHplAoI1RdOXU3s74J8YOA",
  "version" : {
    "number" : "7.9.2",
    "build_flavor" : "default",
    "build_type" : "docker",
    "build_hash" : "d34da0ea4a966c4e49417f2da2f244e3e97b4e6e",
    "build_date" : "2020-09-23T00:45:33.626720Z",
    "build_snapshot" : false,
    "lucene_version" : "8.6.2",
    "minimum_wire_compatibility_version" : "6.8.0",
    "minimum_index_compatibility_version" : "6.0.0-beta1"
  },
  "tagline" : "You Know, for Search"
}

2. Deploy Kibana

helm install  kibana elastic/kibana -n logging

wait till you get this

k get pods -n logging                                                
NAME                             READY   STATUS    RESTARTS   AGE
elasticsearch-master-0           1/1     Running   0          12m
elasticsearch-master-1           1/1     Running   0          12m
elasticsearch-master-2           1/1     Running   0          12m
kibana-kibana-696f869668-jrnvw   1/1     Running   0          6m10s

3. Deploy Filebeat

helm install filebeat elastic/filebeat -n loggin

wait till you get this

kubectl get pods --namespace=logging -l app=filebeat-filebeat -w    
NAME                      READY   STATUS    RESTARTS   AGE
filebeat-filebeat-kgnr4   0/1     Running   0          54s
filebeat-filebeat-kgnr4   1/1     Running   0          59s

create index pattern and discover logs

kubectl port-forward deployment/kibana-kibana 5601 -n logging

Now perform following steps to get index configured

1. Go to Management → Kibana → Index Patterns page, and click Create index pattern. Kibana will automatically identify and display the Filebeat index:
2. Enter ‘filebeat-’ and on the next step select the @timestamp* field to finalize the creation of the index pattern in Kibana.
3. Hop on over to the Discover page. You’ll see all the metrics being collected from your Kubernetes cluster by Filebeat displayed:

Checkout following repository to learn more: github.com/ashishkamat2791/spring-minikube-..