microservice-extraction

Safe monolith-to-microservice extraction uses a bounded-context-first approach anchored by the Strangler Fig pattern. This method supports phased rollouts, anti-corruption layer boundaries, and a 90-day rollback window to minimize risk across domain boundaries and data migrations.

The Strangler Fig pattern enables monolith-to-microservice migration by incrementally replacing legacy functionality with new services. This skill orchestrates the process through a five-phase plan, using anti-corruption layers to prevent legacy model leakage during the transition.

Database splitting during microservice extraction transitions from a shared schema to separate databases per service. This skill provides explicit guidance on data migrations alongside consumer-driven contract testing to ensure data integrity across the newly separated domain boundaries.

To prevent legacy model leakage during monolith decomposition, implement anti-corruption layer boundaries. This skill guides the establishment of these boundaries alongside bounded-context mapping to maintain domain ownership integrity throughout the extraction process.

Microservice extraction requires operational readiness including service-level objectives, runbooks, on-call readiness, and architecture decision records. This skill enforces these guardrails alongside consumer-driven contracts to ensure the extracted service is production-ready.

You should reconsider strangler fig microservice extraction if your architecture lacks clear bounded contexts or if your team boundaries do not align with proposed services. This skill emphasizes Conway's law alignment and prioritization scoring to validate extraction viability before execution.