Comparison7 min read

Helm vs Kustomize: Which Kubernetes Deployment Tool to Choose

SFEIR Institute

Key Takeaways

  • 70% of cloud organizations rely on Helm for Kubernetes
  • Helm manages dependencies and charts; Kustomize offers overlays without templating

Choosing between Helm and Kustomize to manage your Kubernetes deployments determines your daily productivity and infrastructure maintainability. This Helm vs Kustomize Kubernetes comparison objectively examines the two most adopted Kubernetes deployment tools. 70% of organizations use Kubernetes in cloud environments, and the majority rely on Helm (Orca Security 2025). However, Kustomize is gaining ground as a native alternative. Which tool fits your needs?

TL;DR: Helm excels for complex deployments with templating and dependency management. Kustomize shines for simple overlays without a learning curve. Choose Helm for third-party applications and shared charts; Kustomize for internal configurations and pure GitOps approach.

To master these Kubernetes deployment tools, follow the LFD459 Kubernetes for Application Developers training.

Comparison Table: Helm vs Kustomize on 7 Criteria

CriterionHelmKustomize
ApproachGo templatingDeclarative patching
Adoption~70% of clusters (Orca Security 2025)Built into kubectl since v1.14
Learning curveMedium (Go templates syntax)Low (native YAML)
Dependency management✅ Native (Chart.yaml)❌ Manual
Ecosystem10,000+ public charts (ArtifactHub)Community components
Rollback✅ Native (helm rollback)❌ Via Git
GitOps integrationArgoCD, FluxArgoCD, Flux (native)
Remember: Helm and Kustomize are not mutually exclusive. ArgoCD and Flux support both, and some teams combine Helm for external dependencies with Kustomize for environment overlays.

What is Helm and How Does It Work?

Helm is the Kubernetes package manager. It encapsulates Kubernetes resources in reusable charts with Go templating. A chart contains YAML templates, a values.yaml file for parameters, and versioning metadata.

# Installing a Helm chart
helm repo add bitnami https://charts.bitnami.com/bitnami
helm install my-nginx bitnami/nginx --set replicaCount=3

The Helm v3 architecture (since 2019) removes Tiller and interacts directly with the Kubernetes API. Each release is stored as a Secret in the target namespace.

Key Helm advantages:

  • Powerful templating with conditions, loops, functions
  • Ecosystem of ready-to-use charts
  • Release management with history and rollback
  • Pre/post-install hooks to orchestrate deployments

To deepen Kubernetes application development, Helm remains the reference tool for packaging your microservices.

What is Kustomize and What's Its Approach?

Kustomize is a YAML manifest customization tool without templating. It uses overlays to modify configuration bases. Built into kubectl since version 1.14, Kustomize requires no additional installation.

# Applying a Kustomize overlay
kubectl apply -k overlays/production/

A kustomization.yaml file defines base resources and transformations:

# kustomization.yaml
apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
resources:
- deployment.yaml
- service.yaml
namePrefix: prod-
commonLabels:
env: production
patches:
- path: replica-patch.yaml

Key Kustomize advantages:

  • Native YAML without templating syntax
  • Overlays per environment (dev, staging, prod)
  • Built-in transformers (labels, annotations, images)
  • No external dependencies

Kustomize naturally integrates into cloud-native development patterns for Kubernetes.

How Does Kubernetes Manifest Management Compare?

Kubernetes manifest management differs fundamentally between the two tools.

Helm: Templating and Parameterization

# templates/deployment.yaml (Helm)
apiVersion: apps/v1
kind: Deployment
metadata:
name: {{ .Release.Name }}-app
spec:
replicas: {{ .Values.replicaCount }}
template:
spec:
containers:
- name: app
image: "{{ .Values.image.repository }}:{{ .Values.image.tag }}"
resources:
limits:
memory: {{ .Values.resources.limits.memory }}

The values.yaml file centralizes all parameters. Environments use separate values files:

helm install app ./chart -f values-prod.yaml

Kustomize: Patches and Overlays

# overlays/production/replica-patch.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: app
spec:
replicas: 5

Kustomize preserves original manifests and applies patches. This approach simplifies code review: the diff shows exactly what changes.

Remember: Helm centralizes configuration in values.yaml; Kustomize distributes modifications across patch files. For teams practicing strict GitOps, Kustomize offers better change traceability.

Consult the guide Designing containerized applications for Kubernetes to structure your manifests.

What Learning Curve for Each Tool?

The Kubernetes Infrastructure Engineer discovering these tools must evaluate adoption time.

Helm: Go Templates Syntax

Helm requires mastering Go templates:

{{- if .Values.ingress.enabled }}
apiVersion: networking.k8s.io/v1
kind: Ingress
{{- end }}

{{- range .Values.extraVolumes }}
- name: {{ .name }}
{{- if .configMap }}
configMap:
name: {{ .configMap.name }}
{{- end }}
{{- end }}

Functions include, tpl, toYaml add complexity. An experienced developer masters Helm in 2-3 weeks of intensive practice.

Kustomize: Standard YAML

Kustomize uses exclusively valid Kubernetes YAML. An engineer familiar with kubectl becomes productive in a few days.

# Standard transformers
images:
- name: nginx
newTag: 1.25.3
replicas:
- name: deployment
count: 3

For those starting with Kubernetes, Kustomize offers a more accessible entry point.

How to Manage Dependencies and Versioning?

Dependencies with Helm

Helm natively manages dependencies in Chart.yaml:

# Chart.yaml
dependencies:
- name: postgresql
version: "12.x.x"
repository: "https://charts.bitnami.com/bitnami"
condition: postgresql.enabled
helm dependency update
helm install myapp ./chart

This feature simplifies deploying complex applications with databases, caches, and ancillary services.

Dependencies with Kustomize

Kustomize doesn't manage dependencies. You reference remote bases:

# kustomization.yaml
resources:
- github.com/kubernetes-sigs/kustomize//examples/ldap?ref=v4.5.7

For complex dependencies, combine Kustomize with tools like Helm or Jsonnet.

Remember: Helm excels for complete application stacks (app + DB + cache + monitoring). Kustomize suits standalone applications with few dependencies.

What Integration with GitOps and CI/CD?

82% of container users run Kubernetes in production (CNCF Annual Survey 2025). CI/CD integration becomes critical.

Helm in Pipelines

# GitLab CI example
deploy:
script:
- helm upgrade --install myapp ./chart
--namespace production
--values values-prod.yaml
--atomic
--timeout 5m

ArgoCD detects Helm charts and handles server-side rendering. The --atomic flag guarantees automatic rollback on failure.

Kustomize in Pipelines

# GitHub Actions example
- name: Deploy
run: |
kubectl apply -k overlays/${{ env.ENVIRONMENT }}/

Flux CD uses Kustomize natively with Kustomization CRDs:

apiVersion: kustomize.toolkit.fluxcd.io/v1
kind: Kustomization
metadata:
name: app
spec:
path: ./overlays/production
sourceRef:
kind: GitRepository
name: app-repo

The transition from Docker Compose to Kubernetes is more natural with Kustomize for beginner teams.

When to Choose Helm?

Use Helm in these scenarios:

  1. Deploying third-party applications: PostgreSQL, Redis, Prometheus, Grafana have community-maintained charts.
  1. Packaging for distribution: You publish an application that other teams deploy with their own parameters.
  1. Managing complex dependencies: Your stack includes multiple interdependent components.
  1. Need native rollback: helm rollback myapp 2 restores the previous version instantly.
  1. Team experienced in Go templates: The syntax doesn't slow down productivity.
# Essential Helm commands
helm search repo nginx
helm show values bitnami/nginx > values.yaml
helm upgrade --install myapp ./chart --dry-run
helm history myapp
helm rollback myapp 1

The LFS458 Kubernetes Administration training covers Helm deployment in detail for system administration.

When to Choose Kustomize?

Use Kustomize in these scenarios:

  1. Internal applications: You control the manifests and don't need to package them for others.
  1. Strict GitOps approach: Every change must be visible in a readable Git diff.
  1. Environment overlays: Dev, staging, production share a common base with specific patches.
  1. Kubernetes beginner team: No additional syntax to learn.
  1. Native kubectl integration: No additional tool to install.
# Essential Kustomize commands
kubectl kustomize overlays/production/
kubectl apply -k overlays/production/
kubectl diff -k overlays/production/
kustomize edit set image nginx=nginx:1.25.3

For system administrators, the LFS458 Kubernetes Administration training covers both approaches.

Can You Combine Helm and Kustomize?

Yes, and it's a widespread practice. Use Helm to generate base manifests, then Kustomize to customize them:

# kustomization.yaml with Helm
apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
helmCharts:
- name: nginx
repo: https://charts.bitnami.com/bitnami
version: 15.0.0
releaseName: my-nginx
valuesFile: values.yaml
patches:
- path: custom-annotations.yaml

This approach combines:

  • Helm's rich ecosystem
  • Kustomize patch readability
  • Complete GitOps compatibility
Remember: The Helm + Kustomize combination offers the best of both worlds. ArgoCD natively supports this approach with the Kustomize renderer on Helm charts.

Decision Framework: Which Tool for Your Context?

Your ContextRecommendation
Deploying third-party stacks (Prometheus, ELK)Helm
Internal application with 3 environmentsKustomize
Distributing your app to clientsHelm
Junior team, progressive approachKustomize then Helm
GitOps pipeline with Flux CDKustomize (native)
GitOps pipeline with ArgoCDHelm or Kustomize
Complex stack with 10+ dependenciesHelm
Single microservice, little configKustomize

Consult the complete Kubernetes Training guide to build your skills progressively.

Helm and Kustomize represent two abstractions above the fundamental Kubernetes layer.

Resources and Training to Master Kubernetes Deployment Tools

The LFD459 Kubernetes developers training details deployment strategies with these tools.

Recommended training by profile:

Next step: Contact our advisors to define the path suited to your team and certification goals.