# Ref:- /kra-data/setup/downloads/services/logharbour

# cd /kra-data/ndml-kra.devops/setup/services/dev/logharbour

# copy logharbour deployment files and log-consumer and log-producer images in a working directory
  - docker load < private-repo:5000/lhconsumer:latest
  - docker load < private-repo:5000/lhproducer:latest

# push docker image to private registry
  - docker push private-repo:5000/lhconsumer:latest
  - docker push private-repo:5000/lhproducer:latest

# check namespaces
kubectl get ns

# open the lh-consumer-dev.yaml, lh-consumer-qa.yaml and lh-consumer-uat.yaml file and update the following parameters:
  - namespace: kafka
  - ELASTICSEARCH_ADDRESSES
  - ELASTICSEARCH_INDEX
  - KAFKA_BROKERS
  - KAFKA_TOPIC

# open the lh-producer.yaml file and update the following parameters:
  - namespace: kafka
  - KAFKA_BROKERS
  - KAFKA_TOPIC
  

# deploy the files by below command
kubectl apply -f lh-consumer-dev.yaml -n kafka
kubectl apply -f lh-consumer-qa.yaml -n kafka
kubectl apply -f lh-consumer-uat.yaml -n kafka 


# output
deployment.apps/lhconsumer-dev configured     
deployment.apps/lhconsumer-qa configured    
deployment.apps/lhconsumer-uat configured


# confirmed deployment by running below command
kubectl get all -n kafka  --------------------- (will give pods, deployment and service data)

# check whether pods are in running state or not
NAME                                  READY   STATUS      RESTARTS   AGE
pod/lhconsumer-6d4f8c55df-s96pt       1/1     Running     0          2d
pod/lhconsumer-qa-6f6578787d-7mkqw    1/1     Running     0          3h36m
pod/lhconsumer-uat-65488c4f4b-qttsh   1/1     Running     0          3h36m


NAME                             READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/lhconsumer       1/1     1            1           2d
deployment.apps/lhconsumer-qa    1/1     1            1           3h36m
deployment.apps/lhconsumer-uat   1/1     1            1           3h36m

# check logs using below command
kubectl logs -n kafka <pod-name>