Case Study - Football Team Api (Hexagonal Architecture)

📖 Information

• Football Team Management Service:
  • Implement a Spring Boot-based service through hexagonal architecture for managing football teams and their associated players, encompassing functionalities for team listing, player retrieval by team ID, and support for team and player updates or deletions
  • Functional Features:
    • List all football teams.
    • List players of a selected football team using the team’s ID.
    • Delete or update a football team using its ID.
    • Delete players from a football team or add a new player to the team.
  • Business Rules:
    • A football team can have a maximum of 18 players.
    • Only up to 6 players on a team can be foreigners.
    • A maximum of 2 goalkeepers can be defined per team.

Explore Rest APIs

Endpoints Summary

Technologies

• Java 21
• Spring Boot 3.0
• Restful API
• Open Api (Swagger)
• Maven
• Junit5
• Mockito
• Integration Tests
• TestContainers
• Docker
• Docker Compose
• CI/CD (Github Actions)
• Postman
• Prometheus
• Grafana
• Kubernetes
• JaCoCo (Test Report)
• Sonarqube
• Loki (Log Aggregation System)

Postman

Import postman collection under postman_collection folder

Prerequisites

Define Variable in .env file

FOOTBALL_TEAM_DB_IP=localhost
FOOTBALL_TEAM_DB_PORT=5432
POSTGRES_USER={POSTGRES_USER}
POSTGRES_PASSWORD={POSTGRES_PASSWORD}

Open Api (Swagger)

http://localhost:3112/swagger-ui/index.html

JaCoCo (Test Report)

After the command named mvn clean install completes, the JaCoCo report will be available at:

target/site/jacoco/index.html

Navigate to the target/site/jacoco/ directory.

Open the index.html file in your browser to view the detailed coverage report.

Maven, Docker and Kubernetes Running Process

Maven Run

To build and run the application with Maven, please follow the directions shown below;

$ cd footballteamapi
$ mvn clean install
$ mvn spring-boot:run

Docker Run

The application can be built and run by the Docker engine. The Dockerfile has multistage build, so you do not need to build and run separately.

Please follow directions shown below in order to build and run the application with Docker Compose file;

$ cd footballteamapi
$ docker-compose up -d

If you change anything in the project and run it on Docker, you can also use this command shown below

$ cd footballteamapi
$ docker-compose up --build

To monitor the application, you can use the following tools:

• Prometheus:
  Open in your browser at http://localhost:9090
  Prometheus collects and stores application metrics.

• Grafana:
  Open in your browser at http://localhost:3000
  Grafana provides a dashboard for visualizing the metrics.
  Default credentials:

  • Username: admin
  • Password: admin

• Define prometheus data source url, use this link shown below

http://prometheus:9090

• Define loki data source url, use this link shown below

http://loki:3100

Kubernetes Run

To build and run the application with Maven, please follow the directions shown below;

• Start Minikube

$ minikube start

• Open Minikube Dashboard

$ minikube dashboard

• To deploy the application on Kubernetes, apply the Kubernetes configuration file underneath k8s folder

$ kubectl apply -f k8s

• To open Prometheus, click tunnel url link provided by the command shown below to reach out Prometheus

minikube service prometheus-service

• To open Grafana, click tunnel url link provided by the command shown below to reach out Prometheus

minikube service grafana-service

• Define prometheus data source url, use this link shown below

http://prometheus-service.default.svc.cluster.local:9090

• Define loki data source url, use this link shown below

http://loki-service.default.svc.cluster.local:3100

Docker Image Location

https://hub.docker.com/repository/docker/noyandocker/footballteamapi/general

Define Loki through Grafana

• Define Loki Dashboard
• Define query after selecting data source as Loki
• Define Label Filter as app and its value footballteamapi
• Run the query
• Show the result in the Dashboard

Sonarqube

• Go to localhost:9000 for Docker and Go there through minikube service sonarqube for Kubernetes
• Enter username and password as admin
• Change password
• Click Create Local Project
• Choose the baseline for this code for the project as Use the global setting
• Click Locally in Analyze Method
• Define Token
• Click Continue
• Copy sonar.host.url and sonar.token (sonar.login) in the properties part in pom.xml
• Run mvn sonar:sonar to show code analysis

Screenshots

Click here to show the screenshots of project

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Contributors

• Sercan Noyan Germiyanoğlu