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.