microservices-patterns

To decompose a monolith into microservices, map current domains to bounded contexts and draft an initial migration plan. This process establishes clear service boundaries, explicit ownership, and data contracts for reliable distributed systems.

Designing inter-service communication for distributed systems involves implementing event-driven patterns and resilience mechanisms. This ensures reliable data exchange and service discovery while defining clear data ownership and deployment strategies.

You need event-driven architecture for microservices when migrating from a modular monolith and requiring scalable, resilient service communication. It establishes clear boundaries and contracts to enable reliable distributed systems.

Define service boundaries and data ownership by mapping current domains to bounded contexts. This decomposes monoliths into well-scoped services with explicit contracts, establishing clear ownership for reliable distributed systems.

Yes, building observability and resilience patterns is supported for distributed systems. It includes service discovery, load balancing, and scalable architecture designs to ensure reliable inter-service communication and deployment.

Limitations of decomposing a monolith include managing complex inter-service communication, data ownership across distributed systems, and maintaining observability. It requires establishing explicit contracts and resilience patterns to avoid failures.