Microservices Mastery
Lesson 29 of 30 97% of course

CI/CD Pipelines for Microservices (GitHub Actions/Azure DevOps)

16 · 8 min · 5/23/2026

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Modern CI/CD Pipelines

In microservices, you are deploying code dozens of times per week. Manual deployment is a recipe for disaster. CI/CD (Continuous Integration / Continuous Deployment) automates the journey of your code from git push to the production cluster.

1. Continuous Integration (CI)

Every time you push code, the pipeline: (1) Restores Nuget packages, (2) Builds the project, (3) Runs Unit Tests, (4) Scans for Security vulnerabilities, and (5) Builds a Docker Image.

2. Continuous Deployment (CD)

The pipeline then: (1) Pushes the Docker image to a registry (like Azure Container Registry), (2) Updates the Kubernetes manifest or Helm chart, and (3) Triggers a Rolling Update in the cluster.

# GitHub Actions Example
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Build & Publish
        run: dotnet publish -c Release

4. Interview Mastery

Q: "What is a 'Blue/Green Deployment' and how does it reduce risk?"

Architect Answer: "Blue/Green deployment maintains two identical production environments. 'Blue' is the current live version. 'Green' is the new version. You deploy to Green, test it privately, and then simply flip a switch in the Load Balancer to point traffic to Green. If anything goes wrong, you flip the switch back to Blue in milliseconds. This is the ultimate tool for zero-downtime, low-risk releases."

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Microservices Mastery

On this page

1. Continuous Integration (CI) 2. Continuous Deployment (CD) 4. Interview 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