architecture-paradigm-microservices

## Table of Contents - [When to Employ This Paradigm](#when-to-employ-this-paradigm) - [When NOT to Use This Paradigm](#when-not-to-use-this-paradigm) - [Adoption Steps](#adoption-steps) - [Key Deliverables](#key-deliverables) - [Technology Guidance](#technology-guidance) - [Risks & Mitigations](#risks-mitigations) # The Microservices Architecture Paradigm ## When to Employ This Paradigm - When the organizational structure requires high levels of team autonomy and independent release cycles. - When different business capabilities (bounded contexts) have distinct scaling requirements or would benefit from different technology stacks. - When there is a significant organizational commitment to investing in DevOps and SRE maturity, including advanced observability, CI/CD, and incident response capabilities. ## When NOT To Use This Paradigm - When team size is small and organizational complexity is low - When lack of DevOps maturity or limited platform engineering resources - When system requires strong transactional consistency across operations - When early-stage startup with rapidly evolving requirements - When regulatory constraints make distributed data management challenging ## Adoption Steps 1. **Define Bounded Contexts**: Map each microservice to a clear business capability and establish unambiguous data ownership. 2. **validate Service Data Autonomy**: Each service must own and control its own database or persistence mechanism. All data sharing between services must ...