java-quarkus-development

Java Quarkus Development Best Practices Core Principles Write clean, efficient, and well-documented Java code using Quarkus best practices Focus on fast startup and minimal memory footprint via GraalVM native builds Leverage Quarkus extensions for common functionality Design for containerized and serverless deployments Follow SOLID principles and microservices architecture patterns Development Workflow Quarkus Dev Mode Use quarkus dev for rapid iteration with live reload Leverage continuous testing during development Use Dev UI for debugging and configuration inspection Take advantage of Dev Services for local development Configuration Type-Safe Configuration Use @ConfigProperty for type-safe configuration injection Group related configs with @ConfigMapping interfaces Validate configuration at startup Document configuration properties Profile-Based Configuration Use %dev, %test, %prod prefixes for environment-specific configs Override configs via environment variables in production Keep sensitive values out of source control Use .env files for local development Dependency Injection CDI Annotations Use @Inject for dependency injection Use @Named to qualify implementations Use @Singleton, @ApplicationScoped, @RequestScoped appropriately Prefer constructor injection for required dependencies Bean Discovery Understand Quarkus build-time bean discovery Use @IfBuildProfile for conditional beans Avoid reflection-heavy patterns for native builds REST API Development RESTEasy Reactive Use @Path, @GET, @POST, etc. for endpoint definitions Return proper HTTP status codes Use @Valid for input validation Implement exception mappers for consistent error responses Reactive Patterns Use Mutiny for reactive programming Leverage Uni and Multi for async operations Combine reactive with imperative code where appropriate Data Access Hibernate ORM with Panache Use Panache for simplified JPA patterns Leverage Active Record or Repository patterns Use PanacheEntity for entities with built-in operations Implement custom queries with find and list methods Database Operations Use Flyway or Liquibase for migrations Configure connection pooling with Agroal Use reactive database clients for non-blocking I/O Testing JUnit 5 Integration Use @QuarkusTest for integration tests Use @QuarkusIntegrationTest for native image tests Leverage test profiles for different configurations REST Endpoint Testing Use rest-assured for endpoint testing Test both success and error scenarios Verify response bodies and status codes Test authentication and authorization Performance Optimization Native Image Optimization Build native images with GraalVM for production Test native builds regularly during development Use @RegisterForReflection when needed Minimize reflection usage Memory and Startup Monitor memory usage in containers Optimize for serverless cold starts Use lazy initialization where appropriate Observability Health Checks Use MicroProfile Health for liveness and readiness probes Implement custom health checks for dependencies Configure Kubernetes probes based on health endpoints Metrics Use MicroProfile Metrics for application metrics Export metrics in Prometheus format Add custom metrics for business operations Distributed Tracing Use OpenTracing/OpenTelemetry integration Propagate trace context across services Configure sampling appropriately for production Security Use Quarkus Security extensions Implement authentication with OIDC or JWT Configure CORS for web clients Validate and sanitize all inputs Use HTTPS in production Containerization Use Quarkus container image extensions Build multi-stage Dockerfiles for native images Configure resource limits appropriately Use distroless or minimal base images