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Roadmap Item: Release 0.2 - Service Foundation

Status

PROPOSED

Date: 2025-07-05

Changelog

Date Revision Description Author
2025-07-05 1.0 Initial version Loryth Team

Context

The Loryth project currently has placeholder services (budget, cms, issues, journal) that need to be fully implemented with clear boundaries and responsibilities. As we move toward a distributed architecture, we need to establish solid service foundations, including well-defined boundaries, consistent communication patterns, and reliable error handling mechanisms.

Without properly defined services, we risk creating a distributed monolith with tight coupling, unclear responsibilities, and maintenance challenges. Establishing strong service foundations will enable future scalability, maintainability, and feature development.

Proposal

Overview

Complete the implementation of all placeholder services, establish clear service boundaries and responsibilities, define and implement consistent inter-service communication patterns, and set up robust error handling across all services.

Goals

  • Complete the implementation of all placeholder services with full functionality
  • Define clear service boundaries aligned with domain contexts
  • Establish consistent patterns for service communication and interaction
  • Implement robust error handling and resilience mechanisms across services
  • Create a foundation for independent service evolution and scaling
  • Provide a consistent developer experience across all services

Non-Goals

  • Advanced security implementation (addressed in Q1 2026)
  • Performance optimization beyond basic needs (addressed in Q2 2026)
  • UI/UX refinement beyond functional requirements
  • Full feature parity with legacy systems (if any)
  • External system integrations beyond core functionality

Technical Details

Approach

Complete Placeholder Services Implementation

  • Budget Service:

    • Core financial planning and tracking functionality
    • Budget category management
    • Expense recording and reporting
    • Financial period management
  • CMS Service:

    • Content creation and management
    • Publishing workflow
    • Content versioning
    • Media asset management
  • Issues Service:

    • Issue tracking and management
    • Workflow and status management
    • Assignment and prioritization
    • Reporting and querying capabilities
  • Journal Service:

    • Event logging and storage
    • Audit trail functionality
    • Query and reporting interfaces
    • Retention policy implementation

Establish Service Boundaries and Responsibilities

  • Define domain models for each service
  • Document service responsibilities and capabilities
  • Establish data ownership and access patterns
  • Define service interfaces and contracts
  • Create boundary enforcement mechanisms

Implement Inter-Service Communication Patterns

  • Implement event-driven communication based on ADR-0003
  • Establish message schemas and versioning
  • Create service discovery mechanisms
  • Implement circuit breakers and resilience patterns
  • Set up message validation and error handling

Set Up Consistent Error Handling

  • Define common error types and codes
  • Implement consistent error responses across APIs
  • Create error logging
  • Establish retry policies for transient failures
  • Implement graceful degradation patterns

Dependencies

  • Completion of core infrastructure from Q3 2025
  • Implementation of event-driven architecture (ADR-0003)
  • Finalization of service boundary definitions (ADR-0004)
  • Development team training on distributed systems concepts

Backwards Compatibility

  • Service APIs will be versioned to maintain compatibility
  • Event schemas will include version information
  • Migration paths will be provided for existing data and clients

Implementation Plan

Phase 1: Service Design and Planning

  • Finalize domain models for all services
  • Define service interfaces and contracts
  • Design inter-service communication patterns
  • Establish common patterns and libraries

Phase 2: Core Service Implementation

  • Implement Budget Service core functionality
  • Implement CMS Service core functionality
  • Implement Issues Service core functionality
  • Implement Journal Service core functionality
  • Set up initial tests for each service

Phase 3: Communication Patterns

  • Implement event publishing infrastructure
  • Set up event consumers for each service
  • Implement message validation and error handling
  • Create circuit breakers and resilience patterns

Phase 4: Error Handling and Resilience

  • Implement consistent error handling across services
  • Set up logging and monitoring for errors
  • Create retry mechanisms for transient failures
  • Implement graceful degradation patterns

Phase 5: Integration and Testing

  • Integrate all services and communication patterns
  • Implement comprehensive integration tests
  • Create documentation for service APIs and usage
  • Conduct system-wide testing and validation

Community Impact

For Contributors

  • Clear service boundaries and responsibilities improve development focus
  • Consistent patterns reduce learning curve across services
  • Improved developer experience with reliable error handling
  • Better testability with well-defined interfaces
  • Clearer ownership of features and functionality

For Users

  • More reliable system with proper error handling
  • Consistent behavior across different parts of the system
  • Complete functionality across all service areas
  • Better overall user experience

Alternatives Considered

  1. Monolithic First Approach

    • Description: Implement as a monolith first, then decompose later
    • Pros:
      • Faster initial development
      • Simpler debugging and testing
      • Easier to refactor within a single codebase
    • Cons:
      • Harder to decompose later
      • Delayed distributed architecture benefits
      • Potential accumulated technical debt
    • Why not chosen: Would delay establishing proper service patterns and boundaries
  2. Microservice Per Entity

    • Description: Create very fine-grained services for each entity
    • Pros:
      • Maximum flexibility and independence
      • Clear single responsibility
      • Highly targeted scaling
    • Cons:
      • Excessive operational complexity
      • Many network hops for common operations
      • Higher development overhead
    • Why not chosen: Unnecessary complexity for our current scale and needs

Open Questions

  • What is the appropriate granularity for events between services?
  • How should we handle transaction consistency across services?
  • What patterns should we use for service discovery?
  • How detailed should service contracts be?

References