architecture-paradigm-service-based

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Applies coarse-grained service architecture for deployment independence. Use when independent deployment is needed but shared databases rule out microservices.

AI & Automation 323 stars 29 forks Updated today MIT

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# 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 ...

Details

Author
athola
Repository
athola/claude-night-market
Created
8 months ago
Last Updated
today
Language
Python
License
MIT

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