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This repository contains the latest source code of the spring-boot-microservices tutorial

You can watch the tutorial on Youtubehere

• Product Service
• Order Service
• Inventory Service
• Notification Service
• API Gateway using Spring Cloud Gateway MVC
• Shop Frontend using Angular 18

The technologies used in this project are:

• Spring Boot
• Angular
• Mongo DB
• MySQL
• Kafka
• Keycloak
• Test Containers with Wiremock
• Grafana Stack (Prometheus, Grafana, Loki and Tempo)
• API Gateway using Spring Cloud Gateway MVC
• Kubernetes

Make sure you have the following installed on your machine:

• Node.js
• NPM
• Angular CLI

Run the following commands to start the frontend application

cd frontendnpm installnpm run start

Run the following command to build and package the backend services into a docker container

mvn spring-boot:build-image -DdockerPassword=<your-docker-account-password>

The above command will build and package the services into a docker container and push it to your docker hub account.

Make sure you have the following installed on your machine:

• Java 21
• Docker
• Kind Cluster -https://kind.sigs.k8s.io/docs/user/quick-start/#installation

Run the k8s/kind/create-kind-cluster.sh script to create the kind Kubernetes cluster

./k8s/kind/create-kind-cluster.sh

This will create a kind cluster and pre-load all the required docker images into the cluster, this will save you time downloading the images when you deploy the application.

Run the k8s/manisfests/infrastructure.yaml file to deploy the infrastructure

kubectl apply -f k8s/manifests/infrastructure.yaml

Run the k8s/manifests/applications.yaml file to deploy the services

kubectl apply -f k8s/manifests/applications.yaml

To access the API Gateway, you need to port-forward the gateway service to your local machine

kubectl port-forward svc/gateway-service 9000:9000

To access the Keycloak admin console, you need to port-forward the keycloak service to your local machine

kubectl port-forward svc/keycloak 8080:8080

To access the Grafana dashboards, you need to port-forward the grafana service to your local machine

kubectl port-forward svc/grafana 3000:3000