Microservices Mastery

Docker Essentials: Building efficient .NET images

1 Views Updated 5/4/2026

Docker Essentials for .NET

Docker is the foundation of the microservices revolution. It allows you to package your application and its entire environment (OS, .NET Runtime, dependencies) into a single, immutable container image. No more "It works on my machine" excuses.

1. Multistage Builds (Production Standard)

A professional Dockerfile should use **Multistage Builds**. This separates the "Build Environment" (which is huge) from the "Runtime Environment" (which is tiny). The result is a production image that is 200MB instead of 1GB.

# STAGE 1: Build
FROM mcr.microsoft.com/dotnet/sdk:8.0 AS build
WORKDIR /src
COPY . .
RUN dotnet publish -c Release -o /app

# STAGE 2: Run (Tiny Image)
FROM mcr.microsoft.com/dotnet/aspnet:8.0
WORKDIR /app
COPY --from=build /app .
ENTRYPOINT ["dotnet", "MyApi.dll"]

2. .dockerignore

Just like .gitignore, you MUST have a .dockerignore file. It prevents the bin/, obj/, and node_modules folders from being sent to the Docker daemon, making your build process much faster.

4. Interview Mastery

Q: "What is the difference between a Docker Image and a Docker Container?"

Architect Answer: "The difference is one of **Persistence vs Execution**. A **Docker Image** is an immutable, read-only template (think of it as a Class in OOP). A **Docker Container** is a running instance of that image (think of it as an Object/Instance on the heap). You can spin up 10 containers from a single image simultaneously."

Microservices Mastery
1. Distributed Systems Fundamentals
Monolith vs Microservices: When to migrate? The 12-Factor App Methodology for Cloud-Native Apps Database Per Service: Handling distributed data consistency
2. Containerization & Orchestration
Docker Essentials: Building efficient .NET images Docker Compose: Orchestrating a multi-service environment Kubernetes Architecture: Pods, Services, and Deployments K8s ConfigMaps & Secrets: Managing environment variables Helm Charts: Packaging your microservices for K8s
3. Service Communication
Synchronous vs Asynchronous Communication: Pros and Cons REST APIs in a Microservices World: Best Practices Mastering gRPC: High-performance binary communication API Gateways: Implementing Ocelot for single-entry access BFF Pattern: Backend-for-Frontend (Mobile vs Web)
4. Event-Driven Architecture
Message Brokers: Introduction to RabbitMQ & Azure Service Bus Pub/Sub Pattern: Implementing MassTransit for .NET The Outbox Pattern: Ensuring 100% data consistency Dead Letter Queues: Handling message failure gracefully Distributed Transactions: The Saga Pattern (State Machines)
5. Resilience & Scalability
Distributed Caching with Redis: Optimizing global state Service Discovery: IdentityServer4 & Consul Load Balancing: Nginx vs Ingress Controllers The Sidecar Pattern: Offloading cross-cutting concerns
6. Observability & Security
Distributed Logging with Serilog & SEQ Distributed Tracing: OpenTelemetry & Jaeger Health Checks: Monitoring system vitals in real-time OAuth2 & OpenID Connect: Centralized Identity (AuthN/AuthZ) Rate Limiting & Throttling: Protecting your services
7. Advanced Cloud Topics
Infrastructure as Code (IaC): Introduction to Terraform CI/CD Pipelines for Microservices (GitHub Actions/Azure DevOps) C# Architect Interview: Microservices & System Design Focus