Microservices & Event-Driven Architecture (EDA) Mastery

Domain Driven Design (DDD): Bounded Contexts and Aggregates

1 Views Updated 5/4/2026

Designing with DDD

Microservices fail when their boundaries are wrong. Domain Driven Design (DDD) provides the blueprint for drawing those boundaries based on business logic, not technical convenience.

1. Bounded Contexts

A 'Product' in a Warehouse context means dimensions and weight. A 'Product' in a Sales context means price and marketing description. Instead of one giant `Product` class, DDD creates two separate models in two separate **Bounded Contexts**. This prevents 'Big Ball of Mud' architectures.

2. Aggregates and Roots

An Aggregate is a cluster of objects treated as a single unit for data changes. The **Aggregate Root** (e.g., an `Order`) is the only gatekeeper. You never modify an `OrderItem` directly; you ask the `Order` to add it. This ensures business rules (invariants) are always enforced.

4. Interview Mastery

Q: "How do you handle relationships BETWEEN microservices without 'Join' queries?"

Architect Answer: "We use **Data Duplication** and **Eventual Consistency**. If the 'Shipping' service needs the user's name, it shouldn't call the 'Identity' service every time. Instead, it listens for a `UserCreated` event and stores a local copy of the ID and Name. We trade storage for performance and availability. The source of truth remains with Identity, but Shipping has what it needs to work independently."

Microservices & Event-Driven Architecture (EDA) Mastery
1. Foundations of Microservices
The Monolith to Microservices transition: When and why? Domain Driven Design (DDD): Bounded Contexts and Aggregates Database Per Service: Managing data consistency Service Discovery and Health Checks in .NET
2. Communication Patterns
Synchronous Communication: HTTP/gRPC and Service Mesh Asynchronous Communication: Message Brokers (RabbitMQ/Kafka) API Gateways: YARP (Yet Another Reverse Proxy) vs Ocelot Protobuf and Shared Contracts: Managing breaking changes
3. Event-Driven Architecture (EDA)
Introduction to EDA: Producers, Consumers, and Topics The Publisher/Subscriber Pattern in .NET Event Sourcing: Capturing every state change CQRS (Command Query Responsibility Segregation) with MediatR
4. Distributed Transactions & Resiliency
The Saga Pattern: Orchestration vs Choreography The Outbox Pattern: Ensuring reliable message delivery Idempotency: Preventing duplicate message processing Distributed Locking with Redis (Redlock)
5. Observability & Monitoring
Distributed Tracing with OpenTelemetry Centralized Logging: ELK Stack (Elasticsearch, Logstash, Kibana) Metrics and Dashboards: Prometheus and Grafana Correlation IDs: Tracking requests across services
6. Security & Identity
Centralized Authentication: IdentityServer4 & Duende Identity OAuth2 and OIDC Flow for Microservices API Key Management and Rate Limiting Mutual TLS (mTLS) for Internal Service-to-Service Security
7. Infrastructure & Deployment
Containerization: Production-grade Dockerfiles Kubernetes for .NET: Pods, Services, and Ingress Helm Charts: Managing complex deployments Blue-Green and Canary Deployments in K8s
8. FAANG Microservices Case Studies
Case Study: Designing a Global Notification Engine (Reliability at Scale) Case Study: Building a High-Performance Logging Pipeline (PB/Day)