YAS: Yet Another Shop

YAS is a pet project aim to practice building a typical microservice application in Java

Tentative technologies and frameworks

• Java 21
• Spring boot 3.2
• Testcontainers
• Next.js
• Keycloak
• Kafka
• Elasticsearch
• K8s
• GitHub Actions
• SonarCloud
• OpenTelemetry
• Grafana, Loki, Prometheus, Tempo

Local development architecture

Getting started with Docker Compose

1. Get the latest source code
2. Add the following records to your host file:

127.0.0.1 identity
127.0.0.1 api.yas.local
127.0.0.1 pgadmin.yas.local
127.0.0.1 storefront
127.0.0.1 backoffice
127.0.0.1 loki
127.0.0.1 tempo
127.0.0.1 grafana
127.0.0.1 elasticsearch
127.0.0.1 kafka

3. Open terminal of your choice, go to yas directory, run docker compose up, wait for all the containers up and running

Warning: To run all the containers, you need a minimum of 16GB of RAM. Otherwise, you can only run the core services with this command docker compose -f docker-compose.yml up

4. All the containers up and running then we start source connectors by run script, open any terminal window... go to the YAS root folder and type: ./start-source-connectors.sh
5. Open your browser, now you can access the websites via http://storefront/; http://backoffice/ login with admin/password

Note: For the first run, the storefront and the backoffice might not work as expected. Stop all the containers (Ctrl + C) and run docker compose up again.

You might also want to explore:

1. http://pgadmin.yas.local/. Account login: [email protected] / admin. Register a server: postgres, port 5432, username admin, password admin. The Postgresql server is also exposed to the host machine: servername: localhost, port: 5432, username: admin, password: admin
2. http://api.yas.local/swagger-ui/ for all the REST API document of all the services
3. http://identity/ for Keycloak console, account admin/admin
4. http://grafana/ for observability: log, trace, matrix
5. http://elasticsearch/ for calling Elasticsearch APIs

About docker-compose files

1. docker-compose.yml for all core services
2. docker-compose.search.yml for search service
3. docker-compose.o11y.yml for observability services

Deploy to Kubernetes

https://github.com/nashtech-garage/yas/tree/main/k8s/deploy

Documentation

• Architecture and components
• Developer guidelines

Contributing

• Give us a star
• Reporting a bug
• Participate discussions
• Propose new features
• Submit pull requests. If you are new to GitHub, consider to learn how to contribute to a project through forking

By contributing, you agree that your contributions will be licensed under MIT License.

Screenshots

Backoffice & Storefront	Observability