concept7 min read

GitOps and Kubernetes: Principles, Tools and Implementation

SFEIR Instituteβ€’

Key Takeaways

  • βœ“91% of cloud-native organizations have adopted GitOps (CNCF 2025)
  • βœ“Git becomes single source of truth for infrastructure and applications
  • βœ“ArgoCD and FluxCD automatically sync cluster with Git manifests

GitOps is a deployment methodology that uses Git as the single source of truth for Kubernetes infrastructure and applications. For any Cloud operations engineer in Kubernetes training, understanding GitOps represents a strategic skill. According to the CNCF GitOps Survey 2025, 91% of cloud-native organizations have adopted GitOps for their deployments. This declarative approach transforms cluster management by making every change traceable, reproducible, and auditable.

TL;DR: GitOps applies software development principles (versioning, pull requests, code review) to Kubernetes infrastructure. Tools like ArgoCD and FluxCD automatically synchronize cluster state with manifests stored in Git. Result: more reliable deployments, instant rollback, and native compliance.

To master GitOps on Kubernetes, discover the LFS458 Kubernetes Administration training.

What exactly is GitOps?

GitOps is an operational practice where the desired state of infrastructure is described in a Git repository. An operator (agent) monitors this repository and automatically applies changes to the Kubernetes cluster.

Formal definition: GitOps is a continuous delivery methodology that uses Git as a declarative source of truth for infrastructure automation.

The four fundamental GitOps principles, as defined by CNCF:

PrincipleDescription
DeclarativeThe desired system state is expressed declaratively
VersionedThe desired state is stored in Git with complete history
AutomatedApproved changes are applied automatically
ReconciliationAgents continuously correct any configuration drift
Key takeaway: GitOps reverses the traditional push model (CI/CD pushes to cluster) to a pull model where the cluster pulls its configuration from Git.

This approach naturally integrates into a complete Kubernetes training path, where Cloud operations engineers learn to industrialize their deployments.

Why does GitOps transform Kubernetes deployment?

Massive GitOps adoption responds to concrete problems encountered by infrastructure teams. With 82% of container users running Kubernetes in production according to the CNCF Annual Survey 2025, standardizing deployment practices becomes critical.

Measurable GitOps benefits:

  1. Complete traceability: every modification is a Git commit with author, date, and message
  2. Instant rollback: git revert cancels a problematic deployment
  3. Native auditability: Git history satisfies compliance requirements
  4. Multi-environment consistency: same workflow for dev, staging, production
  5. Human error reduction: no more direct kubectl access in production

As Chris Aniszczyk, CTO of CNCF explains:

"Kubernetes is no longer experimental but foundational. Soon, it will be essential to AI as well."

This ecosystem maturity reinforces the importance of adopting standardized GitOps practices. Teams mastering these skills through Kubernetes deployment and production training gain significant operational advantage.

How does GitOps work on Kubernetes?

GitOps architecture relies on a continuous reconciliation cycle between Git and the cluster.

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                    GITOPS WORKFLOW                          β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚                                                             β”‚
β”‚   [Developer]                                               β”‚
β”‚        β”‚                                                    β”‚
β”‚        β–Ό                                                    β”‚
β”‚   β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”    Pull Request    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”          β”‚
β”‚   β”‚   Git   │◄──────────────────►│   Code       β”‚          β”‚
β”‚   β”‚  Repo   β”‚                    β”‚   Review     β”‚          β”‚
β”‚   β””β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”˜                    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜          β”‚
β”‚        β”‚                                                    β”‚
β”‚        β”‚ Webhook/Poll                                       β”‚
β”‚        β–Ό                                                    β”‚
β”‚   β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”                                          β”‚
β”‚   β”‚   GitOps    β”‚  Reconciliation                          β”‚
β”‚   β”‚  Operator   │─────────────────►  K8s Cluster           β”‚
β”‚   β”‚(ArgoCD/Flux)β”‚                                          β”‚
β”‚   β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜                                          β”‚
β”‚                                                             β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

GitOps flow steps:

  1. Commit: developer pushes a YAML manifest change
  2. Review: pull request triggers code review and tests
  3. Merge: after approval, change joins main branch
  4. Detection: GitOps operator detects new commit
  5. Synchronization: operator applies changes to cluster
  6. Reconciliation: operator corrects any configuration drift

Configure your first GitOps deployment with this repository structure:

gitops-repo/
β”œβ”€β”€ base/
β”‚   β”œβ”€β”€ deployment.yaml
β”‚   β”œβ”€β”€ service.yaml
β”‚   └── kustomization.yaml
β”œβ”€β”€ overlays/
β”‚   β”œβ”€β”€ dev/
β”‚   β”‚   └── kustomization.yaml
β”‚   β”œβ”€β”€ staging/
β”‚   β”‚   └── kustomization.yaml
β”‚   └── production/
β”‚       └── kustomization.yaml
└── apps/
└── my-app/
└── application.yaml

This structure supports rolling updates without interruption thanks to Kustomize.

Key takeaway: GitOps pull model eliminates the need for Kubernetes credentials in CI pipelines, strengthening security.

What are the key components of a GitOps architecture?

A production-ready GitOps implementation includes several interconnected components.

The configuration Git repository

The repository contains the desired state of all Kubernetes resources:

# deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: api-backend
namespace: production
spec:
replicas: 3
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 1
maxUnavailable: 0
template:
spec:
containers:
- name: api
image: registry.example.com/api:v2.3.1
resources:
requests:
memory: "256Mi"
cpu: "250m"
limits:
memory: "512Mi"
cpu: "500m"

The GitOps operator

The operator is a Kubernetes controller that monitors Git and synchronizes the cluster. The two dominant solutions are ArgoCD and FluxCD. To deepen this strategic choice, consult our ArgoCD vs FluxCD comparison.

The secrets system

GitOps requires secure secrets management. Common solutions:

ToolApproachIntegration
Sealed SecretsAsymmetric encryptionNative K8s
SOPSFile encryptionMulti-cloud
External SecretsExternal synchronizationAWS/GCP/Azure
VaultCentralized managementHashiCorp

Install Sealed Secrets to secure your GitOps secrets:

kubectl apply -f https://github.com/bitnami-labs/sealed-secrets/releases/download/v0.24.0/controller.yaml
kubeseal --fetch-cert > pub-sealed-secrets.pem

ArgoCD vs FluxCD: what differences for your Kubernetes training?

GitOps tool choice directly impacts Cloud operations engineer experience in Kubernetes training. According to the CNCF End User Survey 2025, ArgoCD holds 60% of the GitOps market, compared to 11% for FluxCD according to The New Stack.

CriterionArgoCDFluxCD
InterfaceComplete web UICLI + Grafana
ArchitectureCentralizedDistributed
Multi-tenancyNativeVia Kustomize
Learning curveModerateMore technical
Helm supportNativeVia controller
OCI registryExperimentalNative

ArgoCD excels for teams seeking immediate visibility on deployment state. Its graphical interface facilitates onboarding.

FluxCD suits multi-cluster architectures with a native GitOps approach (no central server).

Deploy ArgoCD on your test cluster:

kubectl create namespace argocd
kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml
kubectl port-forward svc/argocd-server -n argocd 8080:443
Key takeaway: ArgoCD dominates the market with 60% share, but FluxCD remains relevant for distributed architectures requiring minimal footprint.

Official training covers both tools. The LFD459 Kubernetes for developers training integrates GitOps workflows in the application development context.

When to adopt GitOps in your Kubernetes training path?

GitOps adoption follows a logical progression in Kubernetes skill development.

Technical prerequisites

Before implementing GitOps, master these fundamentals:

  • Kubernetes YAML manifests (Deployments, Services, ConfigMaps)
  • Namespace and RBAC concepts
  • Helm charts or Kustomize
  • Git workflows (branches, pull requests, merges)

The Kubernetes tutorials and practical guides cover these prerequisites.

Appropriate use cases

Adopt GitOps when:

  • You manage more than 5 microservices
  • Multiple environments (dev/staging/prod) coexist
  • Change traceability is required (compliance, audit)
  • Team includes more than 3 people working on infrastructure

Avoid GitOps for:

  • Short POCs or prototypes
  • Local development clusters (minikube, kind)
  • Occasional manual deployments

Evaluate added complexity versus actual benefits.

LevelSkillTraining
BeginnerYAML manifests, kubectlKubernetes fundamentals
IntermediateHelm, Kustomize, CI/CDLFD459 (CKAD)
AdvancedGitOps, multi-clusterLFS458 (CKA)
ExpertGitOps security, policiesLFS460 (CKS)

For infrastructure engineers, the CKA certification path integrates these skills. Consult our guide for infrastructure engineers preparing for CKA.

Application developers will follow a different path, detailed in our guide for developers preparing for CKAD.

Take action: GitOps and Kubernetes training

GitOps represents the natural evolution of DevOps practices for Kubernetes. With 91% adoption in cloud-native organizations and ArgoCD dominating 60% of the market, these skills have become essential.

Next steps for your Kubernetes training:

  1. Discover fundamentals with Kubernetes fundamentals (1 day)
  2. Prepare for CKA with LFS458 Kubernetes Administration (4 days)
  3. Prepare for CKAD with LFD459 Kubernetes for developers (3 days)
  4. Secure your workflows with LFS460 Kubernetes Security (4 days)

These trainings are available in multiple cities: Strasbourg, Toulouse, Luxembourg, Brussels.

Explore the Kubernetes Training thematic map to visualize all available paths, or consult our complete Kubernetes Training guide to plan your skill development.

Contact our advisors for personalized guidance in your Kubernetes training journey.