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README.md

GitOps Implementation Guide

GitOps is a paradigm that applies Git workflows to infrastructure and application deployments. It uses Git as the single source of truth for declarative infrastructure and applications.

Core Principles

  1. Declarative: The entire system is described declaratively
  2. Versioned: The canonical desired system state is versioned in Git
  3. Automated: Approved changes are automatically applied to the system
  4. Observable: The system provides feedback on its actual state

GitOps Workflow

graph LR
    A[Developer] --> B[Git Repository]
    B --> C[GitOps Controller]
    C --> D[Kubernetes Cluster]
    D --> E[Monitoring]
    E --> C
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Tools Comparison

Feature ArgoCD Flux v2 Jenkins X Spinnaker
Kubernetes Native
Multi-Cluster
UI
Helm Support
Kustomize
Policy Engine

ArgoCD Implementation

Installation

kubectl create namespace argocd
kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml

Example Application

See argocd/example-app.yaml for a complete example.

Best Practices

  1. App of Apps Pattern: Manage multiple applications
  2. Sealed Secrets: Encrypt secrets in Git
  3. Progressive Delivery: Use Argo Rollouts
  4. Multi-Tenancy: Separate projects and RBAC

Flux v2 Implementation

Flux Installation

flux bootstrap github \
  --owner=$GITHUB_USER \
  --repository=$GITHUB_REPO \
  --branch=main \
  --path=./clusters/production

Example Configuration

See flux/example-source.yaml for repository setup.

Key Features

  1. Source Controller: Manages Git/Helm repositories
  2. Kustomize Controller: Applies manifests
  3. Helm Controller: Manages Helm releases
  4. Notification Controller: Alerts and webhooks

DORA Metrics with GitOps

GitOps directly improves DORA metrics:

  1. Deployment Frequency: Automated deployments via Git commits
  2. Lead Time: Reduced manual steps
  3. MTTR: Quick rollbacks via Git revert
  4. Change Failure Rate: Preview environments and automated testing

Tracking Deployments

# Annotation for tracking deployments
metadata:
  annotations:
    dora.metrics/deployment-id: "deploy-123"
    dora.metrics/commit-sha: "abc123"
    dora.metrics/timestamp: "2024-01-20T10:30:00Z"

Security Considerations

  1. Least Privilege: GitOps controllers with minimal permissions
  2. Secrets Management: Use Sealed Secrets or SOPS
  3. Policy Enforcement: OPA Gatekeeper or Kyverno
  4. Audit Logging: Track all changes via Git

Multi-Environment Setup

.
├── environments/
│   ├── dev/
│   │   ├── kustomization.yaml
│   │   └── patches/
│   ├── staging/
│   │   ├── kustomization.yaml
│   │   └── patches/
│   └── production/
│       ├── kustomization.yaml
│       └── patches/
├── base/
│   ├── deployment.yaml
│   ├── service.yaml
│   └── kustomization.yaml

Progressive Delivery

Combine GitOps with progressive delivery for safer deployments:

  1. Canary Deployments: Gradual traffic shifting
  2. Blue-Green: Instant rollback capability
  3. Feature Flags: Application-level controls
  4. A/B Testing: Data-driven rollouts

Observability

Essential metrics for GitOps:

  • Sync status and frequency
  • Drift detection alerts
  • Resource health metrics
  • Deployment velocity

Troubleshooting

Common issues and solutions:

  1. Sync Failures: Check RBAC and resource quotas
  2. Drift Detection: Enable auto-sync or investigate manual changes
  3. Performance: Tune sync intervals and resource limits
  4. Secrets: Verify encryption and key management

Resources