Project Assumptions

Application with air quality data from IoT sensors.

Technology Stack

Back-end:

• Spring Boot
• Java
• Gradle Kotlin DSL
• MongoDB
• JUnit
• Mockito
• Lombok
• Spring Security
• Spring Data MongoDB
• Spring Web
• Spring Mail
• OpenAPI (Swagger)

Authentication:

• Keycloak

Core back-end:

• Gradle build system
• the application has an exception handling mechanism
• the application has a logging mechanism
• the application has separate environments for dev and prod
• the application has a dedicated configuration file
• the application has Keycloak integration for authentication and authorization
• the application has permission management based on keycloak roles
• the application written in Domain-Driven Design (DDD) style
• optimistic locking for concurrent updates with Etag and If-Match header
• and many other features that can be found in the application code

Other:

• Docker for development environment
• PMD for static code analysis
• SpotBugs for static code analysis
• JSpecify for null-safety annotations
• NullAway for null-safety checks
• Error Prone for static code analysis
• Spotless for code formatting

Note: During application development, SOLID principles, DRY, composition over inheritance, dependency injection, design patterns, architectural patterns were applied, tests were written, and other good programming practices were adopted.