Microservices & Event-Driven Architecture (EDA) Mastery

Synchronous Communication: HTTP/gRPC and Service Mesh

1 Views Updated 5/4/2026

Mastering Sync Communication

Synchronous communication is easy to reason about but can lead to Cascading Failures. If Service A waits for Service B, and B is slow, Service A will eventually crash too.

1. HTTP vs gRPC

  • HTTP/JSON: Best for Public APIs. It's human-readable and universal. However, JSON parsing is slow and text-heavy.
  • gRPC (HTTP/2): Industry standard for internal service-to-service communication. It uses binary serialization (Protobuf), which is 5x-10x faster than JSON. It also supports streaming and bi-directional communication.

2. The Service Mesh (Istio / Linkerd)

A Service Mesh is an infrastructure layer that handles communication for you. It provides **Automatic Retries**, **Mutual TLS**, and **Observability** without you writing any code in your .NET service. It essentially puts a 'Sidecar' proxy next to every pod to manage the network traffic.

4. Interview Mastery

Q: "When should you NOT use gRPC?"

Architect Answer: "gRPC is difficult for browsers to use directly (requires gRPC-Web). If your primary client is a Frontend/Mobile app, a normal REST/HTTP API is often better. Use gRPC for 'Backend-to-Backend' communication where performance and type safety are critical, but keep your public-facing gateway on REST."

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)