Microservices & Event-Driven Architecture (EDA) Mastery

Distributed Tracing with OpenTelemetry

1 Views Updated 5/4/2026

Tracing the Request Flow

In a monolith, you have one log. In microservices, one request might touch 10 services. Without Distributed Tracing, finding the source of a slow response is like looking for a needle in 10 haystacks.

1. OpenTelemetry (The Open Standard)

OpenTelemetry is a vendor-neutral standard for collecting Traces, Metrics, and Logs. .NET has first-class support for it. You can instrument your app once and send the data to **Jaeger**, **Zipkin**, **Honeycomb**, or **Azure Monitor** without changing your code.

2. Spans and Traces

  • **Trace:** The entire journey of a request from Start to Finish.
  • **Span:** A single unit of work (e.g., a SQL query, a Redis fetch, an HTTP call to another service).

By looking at the "Gantt Chart" of your trace in a tool like Jaeger, you can instantly see: 'Service A spent 500ms waiting for the Database,' or 'Service B spent 1s retrying an API call.'

4. Interview Mastery

Q: "How do you propagate a trace across an asynchronous message queue?"

Architect Answer: "We use **Baggage and Trace Context**. When we publish a message to RabbitMQ, MassTransit automatically adds the `traceparent` and `tracestate` to the message headers. When the consumer reads the message, it starts a new span using those headers as the 'Parent'. This allows the tracing tool to link the Producer's timeline to the Consumer's timeline even though they happened seconds or minutes apart."

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)