Microservices Mastery

Infrastructure as Code (IaC): Introduction to Terraform

1 Views Updated 5/4/2026

Infrastructure as Code (IaC)

In the past, to get a server, you had to file a ticket and wait 3 weeks. In the cloud, you can click buttons in a portal. But clicking buttons is error-prone and untraceable. Infrastructure as Code (IaC) allows you to define your entire Cloud environment (Databases, Servers, K8s clusters) using code files. Terraform is the industry-standard tool for this.

1. Why use Terraform?

  • State Management: Terraform knows exactly what is currently deployed. If you delete a line of code, Terraform deletes that server in the cloud.
  • Multi-Cloud: Use the same language (HCL) to manage Azure, AWS, and Google Cloud simultaneously.
  • Immutable Infrastructure: Stop "fixing" servers. If you need a change, you destroy the old server and create a brand new one from your code.
resource "azurerm_kubernetes_cluster" "toolliyo" {
  name                = "toolliyo-cluster"
  location            = "East US"
  dns_prefix          = "toolliyo"
  default_node_pool {
    node_count = 3
  }
}

4. Interview Mastery

Q: "What is the 'Terraform State File' and why is it dangerous?"

Architect Answer: "The state file (`terraform.tfstate`) is the 'Source of Truth' that tracks your real-world resources. If you lose this file, Terraform has no idea what you've deployed and might try to create duplicate resources. It also often contains sensitive data (like DB passwords) in plain text. For professional teams, you must store the state file in a **Remote Backend** (like Azure Blob Storage or AWS S3) with state locking and encryption enabled."

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