implementing-gitops

# GitOps Workflows

Implement GitOps continuous delivery for Kubernetes using declarative, pull-based deployment models where Git serves as the single source of truth for infrastructure and application configuration.

## When to Use

Use GitOps workflows for:

- **Kubernetes Deployments:** Automating application and infrastructure deployments to Kubernetes clusters
- **Multi-Cluster Management:** Managing deployments across development, staging, production, and edge clusters
- **Continuous Delivery:** Implementing pull-based CD pipelines with automated reconciliation
- **Drift Detection:** Automatically detecting and correcting configuration drift from desired state
- **Audit Requirements:** Maintaining complete audit trails via Git commits for compliance
- **Progressive Delivery:** Implementing canary, blue-green, or rolling deployment strategies
- **Disaster Recovery:** Enabling rapid cluster recovery with GitOps bootstrap processes

Trigger keywords: "deploy to Kubernetes", "ArgoCD setup", "Flux bootstrap", "GitOps pipeline", "environment promotion", "multi-cluster deployment", "automated reconciliation"

## Core GitOps Principles

### 1. Git as Single Source of Truth

All system configuration stored in Git repositories. No manual kubectl apply or cluster modifications. Declarative manifests (YAML) for all Kubernetes resources, environment-specific overlays, infrastructure configuration, and application deployments.

### 2. Pull-Based Deployment

Operators running inside clusters pull changes from Git and apply them automatically. Benefits include no cluster credentials in CI/CD pipelines, support for air-gapped environments, self-healing through continuous reconciliation, and simplified CI/CD.

### 3. Automated Reconciliation

GitOps operators continuously compare actual cluster state with desired state in Git and reconcile differences through a continuous loop: watch Git, compare live state, apply differences, report status, repeat.

### 4. Declarative Configur