Spring Boot Process API Basics

Small Java 21 / Spring Boot REST API project exposing process-check data through a layered backend structure, validation and H2 persistence.

View repository · Read the full README · DataTideHH portfolio

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Project purpose

This project is a deliberately compact backend learning project.

It demonstrates how process-related records can be represented, validated, persisted and exposed through a small REST API using Spring Boot.

The goal is not to present a production service or an enterprise backend system. The goal is to document a clean first step from Java basics toward a small enterprise-style REST API that supports structured operational data.

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Portfolio context

The project supports a Data/BI and process-analysis learning path by connecting backend API fundamentals with structured process data.

For Data/BI and process analysis work, APIs are an important interface between operational systems and downstream data workflows. This project is useful as a supporting IT foundation because it shows how process-related records can move through a simple backend structure.

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What the project demonstrates

• Java 21 project setup
• Spring Boot REST API basics
• controller, service and repository separation
• Spring Data JPA repository usage
• request validation
• H2 in-memory persistence
• CRUD endpoints for process-check data
• local Maven build and run workflow

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API scope

The API exposes a small process-check resource.

GET    /api/process-checks
GET    /api/process-checks/{id}
POST   /api/process-checks
PUT    /api/process-checks/{id}
DELETE /api/process-checks/{id}

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Example process-check record

{
  "id": 1,
  "processName": "Daily sales import",
  "owner": "Data Operations",
  "status": "OK",
  "lastCheckedAt": "2026-07-10T00:25:00",
  "slaMinutes": 60
}

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Local usage

Run the application from the repository root:

./mvnw spring-boot:run

Then open:

http://localhost:8080/api/process-checks

Build and test locally:

./mvnw clean package

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Related DataTideHH project pages

• Music Production Data Lab — public-safe data modeling, SQL/Python workflow and Power BI reporting layer
• Network Operations Data Lab — public-safe operational IT data, Python, SQL and data-quality workflow

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Data and limitations

The project uses an H2 in-memory database. Data is reset when the application stops.

The sample data is synthetic and does not contain personal, customer or production data.

This is a learning project with a deliberately limited scope.