AgentSkillsCN

architecture-paradigm-service-based

粗粒度服务架构：在无需微服务复杂性的前提下，实现部署独立性。 触发条件：基于服务、SOA、粗粒度服务、领域服务 适用场景：当团队需要在不引入微服务复杂性的情况下实现部署独立性时使用。切勿在以下情况下使用此技能：若需精细粒度的扩展——请改用微服务架构。

SKILL.md
--- frontmatter
name: architecture-paradigm-service-based
description: |
  Coarse-grained service architecture for deployment independence without microservices complexity.

  service-based, SOA, coarse-grained services, domain services
  Use when: teams need deployment independence without microservices complexity
  DO NOT use when: fine-grained scaling needed - use microservices.
version: 1.4.0
category: architectural-pattern
tags: [architecture, service-based, soa, modular, shared-database]
dependencies: []
tools: [api-gateway, service-registry, schema-management]
usage_patterns:
  - paradigm-implementation
  - monolith-refactoring
  - deployment-independence
complexity: medium
estimated_tokens: 700

The Service-Based Architecture Paradigm

When To Use

  • •Multi-team organizations with domain-aligned services
  • •Systems requiring independent deployment of components

When NOT To Use

  • •Single-team projects small enough for a monolith
  • •Latency-sensitive systems where inter-service calls are prohibitive

When to Employ This Paradigm

  • •When teams require a degree of deployment independence but are not yet prepared for the complexity of managing numerous microservices.
  • •When shared databases or large-scale systems (like ERPs) make full service autonomy unrealistic.
  • •When establishing clear service contracts for partner teams or external consumers.

Adoption Steps

  1. •Group Capabilities: Bundle related business functions into a small set of well-defined services, each with a designated owner.
  2. •Define Service Contracts: Publish formal specifications using standards like OpenAPI or AsyncAPI, including Service Level Agreements (SLAs) and a clear versioning strategy.
  3. •Control Database Schemas: Even when services share a database, assign explicit ownership for each schema or table. Gate all breaking changes through a formal review process.
  4. •Establish Service Mediation: Use a service registry or an API gateway to handle routing, authentication, and observability.
  5. •Plan for Evolution: Identify architectural "hotspots" that are likely candidates for being split into more granular services in the future.

Key Deliverables

  • •An Architecture Decision Record (ADR) that outlines service boundaries, data ownership rules, and coordination mechanisms.
  • •A suite of contract tests and consumer-driven contract tests for each service to validate stability.
  • •Runbooks that describe deployment procedures, rollback plans, and service dependencies.

Risks & Mitigations

  • •Coupling Through a Shared Database:
    • •Mitigation: Changes to a shared database can have cascading effects across services. Mitigate this by using database views, replication, or a formal schema deprecation schedule to manage change.
  • •Architectural Degradation:
    • •Mitigation: Without strong governance, this architecture can degrade into a "distributed monolith"—a monolith with the added complexity of network hops. Track coupling metrics closely and enforce strict ownership of services and data to prevent this.

Troubleshooting

Common Issues

Command not found Ensure all dependencies are installed and in PATH

Permission errors Check file permissions and run with appropriate privileges

Unexpected behavior Enable verbose logging with --verbose flag