Microservices & Event-Driven Architecture (EDA) Mastery
Lesson 25 of 30 83% of course

Containerization: Production-grade Dockerfiles

16 · 8 min · 5/23/2026

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Mastering Docker for .NET

A basic Dockerfile is not enough for production. You need to optimize for Security, Size, and Speed. A well-crafted container is the foundation of a stable microservice.

1. Multi-Stage Builds

Use a "Build" stage with the full .NET SDK to compile your code, and a "Run" stage with just the ASP.NET Runtime to host it. This reduces your image size from 800MB to ~200MB, which means faster deployments and less storage cost.

2. Run as Non-Root

By default, Docker runs your app as the 'root' user. This is a massive security risk. If an attacker exploits your app, they have full control over the container. **Architect Tip:** Use the `USER app` instruction in your Dockerfile to run your app with minimum privileges.

3. Layer Caching

Order your Dockerfile correctly. Copy your `.csproj` files and run `dotnet restore` BEFORE copying your source code. This ensures that when you change a line of code, Docker can reuse the cached 'Restore' layer, making your builds 10x faster.

4. Interview Mastery

Q: "What is 'Distroless' and why should architects care?"

Architect Answer: "'Distroless' images contain only your application and its runtime dependencies. They do NOT contain shells, package managers (apt), or other standard Linux tools. This drastically reduces the **Attack Surface** of your container. If an attacker gets inside, they can't run scripts or install malware because the tools simply aren't there."

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Microservices & Event-Driven Architecture (EDA) Mastery

On this page

1. Multi-Stage Builds 2. Run as Non-Root 3. Layer Caching 4. Interview 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)