Microservices & Event-Driven Architecture (EDA) Mastery

OAuth2 and OIDC Flow for Microservices

1 Views Updated 5/4/2026

Mastering Auth Flows

OAuth2 is for Authorization (What can you do?); OIDC is for Authentication (Who are you?). For microservices, you must pick the right Flow for the right client.

1. Authorization Code Flow + PKCE

The **Gold Standard** for modern Web (React/Angular) and Mobile apps. It ensures that the client secret is never exposed in the browser, making it significantly more secure than the older 'Implicit Flow' which is now deprecated.

2. Client Credentials Flow

Used for Service-to-Service communication where there is no 'User' involved. For example, a background 'Invoice Service' calling a 'Tax Service.' They use an `ClientId` and `ClientSecret` to get a machine-to-machine (M2M) token.

3. Claims-Based Authorization

Don't just use 'Roles'. Use **Claims**. - Role: `Admin` - Claim: `CanDeleteOrders`, `SpendingLimit: $500`. Claims are much more flexible and allow you to build complex permission logic without a giant mess of `if(User.IsInRole)` statements.

4. Interview Mastery

Q: "What is the purpose of a 'Refresh Token'?"

Architect Answer: "Access tokens should be short-lived (e.g., 15 minutes) for security. If an access token is stolen, the attacker only has a small window. A **Refresh Token** is long-lived and stored securely. When the access token expires, the client uses the refresh token to get a new access token without making the user log in again. This provides a balance between high security and a great user experience."

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)