GitOps & Automation

GitOps brings infrastructure and application management into version control, enabling automated, declarative, and reproducible deployments on Kubernetes. Instead of pushing changes with kubectl or a pipeline, a controller continuously reconciles the cluster to match what is declared in Git.

This section covers GitOps principles, ArgoCD, Flux, repository patterns, and CI/CD integration—so you can move from “Git as config storage” to reliable, auditable continuous delivery.

Overview

GitOps is a set of practices that uses Git as the single source of truth for declarative infrastructure and applications. It provides:

  • Version Control: All configuration is stored in Git with full history
  • Automation: Continuous reconciliation between desired and actual state
  • Reproducibility: Complete audit trail and easy rollbacks
  • Collaboration: Standard Git workflows for infrastructure changes
graph LR A[Change via PR] --> B[Git repository] B --> C[GitOps controller] C --> D{Desired == Actual?} D -->|No| E[Sync / reconcile] D -->|Yes| F[Healthy] E --> G[Kubernetes cluster] F --> G

CI builds and tests; Git records the desired state; ArgoCD or Flux applies it. Cluster drift is corrected by reconciliation, not by another ad-hoc apply.

Why GitOps for Kubernetes

Kubernetes is already declarative. GitOps extends that model so every deployable change is reviewable, reversible, and observable:

Without GitOpsWith GitOps
Manual kubectl apply / pipeline pushPull-based sync from Git
Limited audit of who changed whatFull Git history and PR review
Drift is easy to missControllers detect and optionally self-heal
Rollbacks depend on runbooksRevert a commit (or pin a revision)

Use GitOps when you want infrastructure as code with continuous delivery, multi-environment promotion, and a clear split between build (CI) and deploy (CD).

ArgoCD vs Flux

Both tools implement pull-based Kubernetes GitOps. Choose based on how your teams operate—not on “which is more GitOps.”

ArgoCDFlux
StrengthUI, Applications/Projects, multi-cluster visibilityController-native toolkit, strong Kustomize/Helm APIs
FitTeams that want a control-plane UI and app modelTeams that want everything defined as Kubernetes CRDs
Image updatesOften paired with external image toolingBuilt-in image automation that commits back to Git
CNCF statusGraduated (Argo project)Graduated (Flux / GitOps Toolkit)

Still deciding on fundamentals? Start with GitOps Principles. Already committed to a tool? Jump to ArgoCD or Flux, then apply Patterns & Practices so the repo layout scales.

Topics

GuideWhat it covers
GitOps PrinciplesCore concepts and best practices: declarative config, Git as source of truth, pull-based reconciliation
ArgoCDDeclarative continuous delivery for Kubernetes: setup, Applications, sync policies
FluxGitOps toolkit for continuous delivery: install, controllers, multi-tenancy
Patterns & PracticesCommon GitOps patterns and repository structures, promotion, Helm
CI/CD IntegrationIntegrating GitOps with CI/CD pipelines (GitHub Actions, GitLab CI)

Suggested path

  1. Learn the model — Read GitOps Principles so pull-based CD and drift handling are clear before tooling.
  2. Pick a controller — Follow ArgoCD or Flux through install and a first successful sync.
  3. Structure the repo — Apply Patterns & Practices for layout, env promotion, and Helm.
  4. Wire CI correctly — Keep pipelines on build/test and Git updates via CI/CD Integration; leave cluster apply to the controller.

FAQ

What is Kubernetes GitOps?
GitOps for Kubernetes means storing desired cluster state in Git and using a controller (typically ArgoCD or Flux) to continuously reconcile the live cluster to that state. Changes go through Git; the controller handles apply, drift detection, and often rollback.

Do I still need CI/CD with GitOps?
Yes. CI still builds, tests, and publishes artifacts. GitOps replaces push-based deploy steps with a pull-based controller. See CI/CD Integration.

ArgoCD or Flux—which should I start with?
Start with the tool your team will operate day to day. Prefer ArgoCD if you want a strong UI and Application/Project model; prefer Flux if you want a CRD-first toolkit with image automation. Both are production-proven for Kubernetes continuous delivery.