Microservices & Event-Driven Architecture (EDA) Mastery

The Publisher/Subscriber Pattern in .NET

1 Views Updated 5/4/2026

Pub/Sub Mastery

Implementing Pub/Sub in .NET 8 is seamless thanks to MassTransit. It abstracts away the complexity of the underlying broker (RabbitMQ/Service Bus) and let's you focus on the messages.

1. Define the Message (POCO)

A message should be a simple record. **Architect Rule:** Messages should be immutable and contain only the minimal data needed for the consumer to do its work (or an ID to look up more data).

2. The Consumer Interface

Implement `IConsumer`. MassTransit will automatically handle the connection, deserialization, and error handling.

public class OrderPlacedConsumer : IConsumer {
    public async Task Consume(ConsumeContext context) {
        // Business logic here
    }
}

3. Retries and Redelivery

If the consumer fails (e.g., the DB is down), MassTransit can automatically retry with an **Exponential Backoff**. This ensures transient errors don't lead to lost data. If it fails 5 times, it moves the message to an **_error** queue for manual intervention.

4. Interview Mastery

Q: "How do you handle 'Message Ordering' in a distributed system?"

Architect Answer: "True global ordering is impossible at scale. Instead, we use **Competing Consumers with Partitioning**. In Kafka, we use a 'Partition Key' (like UserID). All messages for User A go to Partition 1, and Partition 1 only has one consumer. This ensures that for a specific user, events are processed in the order they were produced, while still allowing the system to scale across multiple partitions for other users."

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)