skill-arch-microservices

Microservices decomposition uses domain-driven bounded contexts and the strangler fig pattern to incrementally extract services from a monolith. This approach maps business domains to cohesive service boundaries, ensuring data ownership remains isolated while mitigating migration risks through documented guardrails and a modular monolith transition path.

Database-per-service is needed when you require independent deployability and strict data isolation between microservices. CQRS and read models complement this by separating write operations from fast query-optimized reads, enabling polyglot persistence to satisfy specific service data management requirements without tight coupling.

Microservices communication patterns depend on your latency and decoupling requirements: REST for standard public APIs, gRPC for high-performance internal calls, and event-driven architecture for asynchronous, fault-tolerant workflows. The Skill provides guidance on selecting the right protocol to ensure resilient service interactions.

API gateways route external requests to internal microservices, providing a secure entry point and abstracting backend changes. Service discovery allows microservices to dynamically locate each other without hardcoded addresses, enabling independent deployment and scalable routing for distributed architectures.

Yes, the Skill applies microservices patterns directly to real-world scenarios like ecommerce platforms and SaaS apps. It addresses service boundaries, data ownership, and scalable deployment patterns tailored for high-volume environments requiring independent deployability and fault tolerance.

Resilient microservices require health checks, distributed observability, and deployment patterns like circuit breakers to monitor and validate service states. These mechanisms ensure fault tolerance by safely rolling out changes and isolating failures within independent services.