freundcloud

Modern Deployment Strategies (2024+)

Progressive Delivery

Argo Rollouts

apiVersion: argoproj.io/v1alpha1
kind: Rollout
metadata:
  name: modern-app
spec:
  replicas: 5
  strategy:
    canary:
      steps:
      - setWeight: 20
      - pause: {duration: 10m}
      - setWeight: 40
      - pause: {duration: 10m}
      analysis:
        templates:
        - templateName: success-rate
        args:
        - name: service-name
          value: modern-app
  revisionHistoryLimit: 2
  selector:
    matchLabels:
      app: modern-app
  template:
    metadata:
      labels:
        app: modern-app
    spec:
      containers:
      - name: app
        image: modern-app:latest
        ports:
        - containerPort: 8080

GitOps Integration

Flux Kustomization

apiVersion: kustomize.toolkit.fluxcd.io/v1
kind: Kustomization
metadata:
  name: apps
  namespace: flux-system
spec:
  interval: 10m
  path: ./apps/production
  prune: true
  sourceRef:
    kind: GitRepository
    name: production
  healthChecks:
    - apiVersion: apps/v1
      kind: Deployment
      name: frontend
      namespace: default
  decryption:
    provider: sops
    secretRef:
      name: sops-gpg

Feature Management

Feature Flag Configuration

apiVersion: core.openfeature.dev/v1alpha1
kind: FeatureFlag
metadata:
  name: new-feature
spec:
  flagSpec:
    key: new-feature
    variants:
      - key: "true"
        value: true
      - key: "false"
        value: false
    targeting:
      rules:
        - key: "beta-users"
          value: "true"
          conditions:
            - attribute: "user.group"
              operator: "in"
              values: ["beta"]
    defaultVariant: "false"

Best Practices

  1. Deployment Safety
    • Progressive rollouts
    • Automated rollbacks
    • Health checks
    • Traffic shifting
  2. Configuration Management
    • GitOps workflows
    • Secret management
    • Config validation
    • Version control
  3. Feature Control
    • Feature flags
    • A/B testing
    • Dark launches
    • Ring deployments
  4. Monitoring
    • Deployment metrics
    • Performance impact
    • User feedback
    • Error tracking