Contents

This repository contains a spring boot microservices application implemented using the latest versions of Spring framework APIs. The implementation is based on the spring framework, boot3.0+, kafka, mongodb, mysql, rabbitMQ and Kafka message brokers, and monitoring via the micrometer tracing stack.

Tech Stack

• Spring Boot 3.3.4+
• JDK 23+ (baseline for spring boot 3.3.4+)
• Spring Security (version 6.0+)
• Spring Discovery (based on the latest cloud version)
• Spring API Gateway v Spring Cloud
• Spring Cloud Stream
• Distributed tracing with zipkin and sleuth (all deprecated but replaced with micrometer tracing)
• Spring Kafka and Kafka streams for messaging via Spring Application Events.

Databases

• MongoDB
• MySQL and PostgreSQL

Other Tech Stack

• Authorization via Spring OAuth2 resource server (using keycloak)
• Keycloack used to provide the authorization via OAuth2 & OIDC

Others include

• Monitoring via Grafana and Prometheus
• Package and deploy using Docker and Kubernetes (later)

Steps to Run the Application

First, clone the repo as follows:

https://github.com/ENate/spring-kafka-microservices-app.git,

Assuming all the technology stack listed above are installed, change to the main directory and run as follows:

cd spring-kafka-microservices-app and then do

mvn spring-boot:run

To run all services, we used the Google docker build API jib and run the services using

docker-compose.yaml file using

docker-compose up -d

Next, run the following command to spin up keycloak and databases via docker-compose

docker run --name keycloak_test -p 8181:8080 -e KEYCLOAK_ADMIN=admin -e KEYCLOAK_ADMIN_PASSWORD=password quay.io/keycloak/keycloak:18.0.0 start-dev

Use any API platform (eg Postman, thunder client, Http etc) to perform CRUD operations on the endpoints. The naming of the individual services describe their main functions. For instance, The product-service represent the products in a given ecommerce application. Proceed with performing CRUD operations.

Other APIs

• Grafana (visualization) and Prometheus (metrics), Tempo(traces), Loki (Logs) for monitoring and instrumentation
• Deployment using docker and kubernetes (still to be done)
• Updated services to use latest boot, security and cloud APIs

Please Note

If you intend to save the docker images after build, please enter your username and set your password in the .m2/settings.xml as described in the Google jib maven documentation.

You may do so by commenting out this code snippet in the main pom.xml file and enter your username (for the docker registry): `

                <!--to><image>registry.hub.docker.com/<user-name>/${artifactId}</image></to-->

`

• Please remember to like this repo :) and any suggestions will be appreciated.