Microservices Architect

Decomposing a monolith into microservices involves identifying domain-driven boundaries using bounded contexts, then separating services by responsibility. This Skill guides you through decomposition strategies, service communication patterns, and deployment on Kubernetes to create independently scalable, maintainable services.

Microservices communicate via synchronous (REST, gRPC) or asynchronous (event-driven, message queues) patterns. This Skill covers both approaches, helping you choose based on your requirements and implement resilience patterns like circuit breakers and correlation IDs for reliable inter-service messaging.

Resilience and observability in microservices require circuit breakers, health checks, distributed tracing, and metrics collection. This Skill shows you how to implement these patterns across your service mesh deployment, using tools like Istio to monitor failures and ensure graceful degradation.

Yes. Kubernetes orchestrates microservices containers while a service mesh like Istio manages inter-service communication, traffic policies, and resilience. This Skill guides you through deploying microservices on Kubernetes with service mesh patterns, progressive delivery, and observability.

Per-service databases follow the microservices pattern, ensuring services own their data and scale independently. This Skill covers the trade-offs of database separation, eventual consistency, and event sourcing patterns to maintain data coherence across distributed services.

Event sourcing and CQRS (Command Query Responsibility Segregation) decouple write and read models, enabling asynchronous communication and eventual consistency. This Skill explains when these patterns solve synchronization challenges in event-driven microservices architectures.