Cloud-Native Design

Overview

Cloud-native design applies principles that maximize elasticity, resilience, and rapid change. Applications are designed for automation, ephemeral infrastructure, and observable operations.

Design Principles

• Stateless service instances when possible
• Immutable infrastructure and declarative deployment
• API-first communication
• Built-in health probes and telemetry

flowchart TD
    A[Containerized Service] --> B[Orchestrator]
    B --> C[Auto Scaling]
    B --> D[Self Healing]
    A --> E[Metrics and Logs]

Production Example

A payment API runs on Kubernetes with readiness and liveness probes.

livenessProbe:
  httpGet:
    path: /health/live
    port: 8080
readinessProbe:
  httpGet:
    path: /health/ready
    port: 8080
resources:
  requests:
    cpu: "200m"
    memory: "256Mi"

The platform restarts unhealthy pods and only routes traffic to ready instances.

Common Pitfalls

• Coupling services to local disk state
• Missing graceful shutdown handling
• Ignoring platform limits and quotas

Key Takeaways

• Cloud-native design requires operational concerns in application design.
• Statelessness and health signaling support resilient orchestration.
• Declarative infrastructure improves repeatability and recovery.