Epic: Architecture Hardening & Production Readiness
🎯 Objective
Upgrade the current backend architecture to meet production-grade standards for scalability, security, and operational resilience. This epic tracks the resolution of key technical debt items and architectural optimizations required for deployment in high-availability cloud environments.
🔒 Security & Reliability
Task 1: Refactor Rate Limiting Strategy for Cloud Proxies
Context: The current rate-limiting implementation relies on the remote address of the incoming request. In a cloud environment, this yields the IP address of the reverse proxy or load balancer, inadvertently aggregating traffic limits across all users.
Task 2: Standardize JWT Exception Handling
Context: Token validation exceptions are currently caught without subsequent logging or propagation, reducing auditability and complicating authentication troubleshooting.
🚀 Performance & Persistence Optimization
Task 3: Optimize Entity Fetching and Eliminate N+1 Queries
Context: The application currently issues sequential database queries when resolving entity collections (e.g., retrieving exercises for a workout plan). Furthermore, default eager fetching on @ManyToOne relationships causes cascading load profiles.
Task 4: Enforce Transactional Boundaries
Context: Service-layer mutations lack explicit transaction boundaries, creating a reliance on the Open Session In View (OSIV) pattern and increasing the risk of data inconsistency during partial failures.
Task 5: Refactor Entity Boilerplate (Lombok)
Context: The usage of @Data on JPA entities automatically generates exhaustive equals(), hashCode(), and toString() methods, which can inadvertently trigger lazy collections and degrade performance.
🛡️ Data Integrity & Error Handling
Task 6: Implement Robust Conflict Resolution (409)
Context: Concurrent registration attempts may trigger unexpected generic internal server errors due to unhandled database unique constraint violations.
📡 API Design Standards
Task 7: Introduce API Versioning and Pagination
Context: To ensure long-term client compatibility and safeguard server memory limits, the API requires versioning and constrained payload sizes on collection endpoints.
🛠️ Operations & Observability
Task 8: Implement Telemetry and Health Checks
Context: The service lacks standard endpoints for orchestration platforms to assess application health and readiness.
Task 9: Establish Integration Testing Infrastructure
Context: Relying strictly on mocked unit tests limits confidence in complex database interactions, transaction lifecycle management, and JPA mappings.
Epic: Architecture Hardening & Production Readiness
🎯 Objective
Upgrade the current backend architecture to meet production-grade standards for scalability, security, and operational resilience. This epic tracks the resolution of key technical debt items and architectural optimizations required for deployment in high-availability cloud environments.
🔒 Security & Reliability
Task 1: Refactor Rate Limiting Strategy for Cloud Proxies
Context: The current rate-limiting implementation relies on the remote address of the incoming request. In a cloud environment, this yields the IP address of the reverse proxy or load balancer, inadvertently aggregating traffic limits across all users.
Task 2: Standardize JWT Exception Handling
Context: Token validation exceptions are currently caught without subsequent logging or propagation, reducing auditability and complicating authentication troubleshooting.
🚀 Performance & Persistence Optimization
Task 3: Optimize Entity Fetching and Eliminate N+1 Queries
Context: The application currently issues sequential database queries when resolving entity collections (e.g., retrieving exercises for a workout plan). Furthermore, default eager fetching on
@ManyToOnerelationships causes cascading load profiles.Task 4: Enforce Transactional Boundaries
Context: Service-layer mutations lack explicit transaction boundaries, creating a reliance on the Open Session In View (OSIV) pattern and increasing the risk of data inconsistency during partial failures.
Task 5: Refactor Entity Boilerplate (Lombok)
Context: The usage of
@Dataon JPA entities automatically generates exhaustiveequals(),hashCode(), andtoString()methods, which can inadvertently trigger lazy collections and degrade performance.🛡️ Data Integrity & Error Handling
Task 6: Implement Robust Conflict Resolution (409)
Context: Concurrent registration attempts may trigger unexpected generic internal server errors due to unhandled database unique constraint violations.
📡 API Design Standards
Task 7: Introduce API Versioning and Pagination
Context: To ensure long-term client compatibility and safeguard server memory limits, the API requires versioning and constrained payload sizes on collection endpoints.
🛠️ Operations & Observability
Task 8: Implement Telemetry and Health Checks
Context: The service lacks standard endpoints for orchestration platforms to assess application health and readiness.
Task 9: Establish Integration Testing Infrastructure
Context: Relying strictly on mocked unit tests limits confidence in complex database interactions, transaction lifecycle management, and JPA mappings.