The full example is present in microservices-tutorial-springboot
- building:
mvn clean package -f api-zipcode
mvn docker:build -f api-zipcode/api-zipcode-infraestructure
- running:
docker-compose -f compose/docker-compose.yml up
Links: [Elastick Search] [Kibana]
Once running, you can call:
curl http://localhost:1401/zipcode/37188
- checking the memory
docker stats $(docker ps --format={{.Names}})
For this test is necessary has a docker registry with login and password set to admin:admin and a minikube installed.
- building:
mvn clean package -f api-zipcode
mvn -Ddocker.registry=localhost:5000 -Ddocker.username=admin -Ddocker.password=admin docker:build docker:push -f api-zipcode/api-zipcode-infraestructure
- preparing the environment in the kubernetes:
In the file deployment.yaml the image needs be change
kubectl create -f kubernates/namespace.json
kubectl create secret docker-registry service-registry --namespace=census --docker-server=$(ipconfig getifaddr en0):5000 --docker-username=admin --docker-password=admin
kubectl apply -f kubernetes/deployment.yaml
kubectl apply -f kubernetes/service.yaml
kubectl apply -f kubernetes/ingress.yaml
kubectl create namespace logging
kubectl apply -f kubernetes/elastic.yaml
kubectl apply -f kubernetes/kibana.yaml
Two ways to transport the log to the elasticsearch: Fluentd and Filebeat. Choose one.
kubectl apply -f kubernetes/fluentd.yaml
kubectl apply -f kubernetes/filebeat.yaml
Link: [Kibana]
Once running, you can call:
curl http://census.trevezani.com.br/zipcode/37188