0Pricing
Helm Academy · Lesson

Deploying Charts with an Argo CD Application

Pointing Argo CD at a chart and values.

Deploying Charts with an Argo CD Application is a free Helm Academy lesson on CoddyKit — lesson 2 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Helm Academy learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.

The Application CRD

In Argo CD, you describe what to deploy with an Application custom resource. It links a source chart to a destination cluster.

Pointing at a Chart

The source block names a Helm repoURL, the chart name, and a targetRevision (the chart version) Argo CD should sync.

source:
  repoURL: https://charts.bitnami.com/bitnami
  chart: nginx
  targetRevision: 15.5.2

Choosing the Destination

The destination block sets the target server and namespace. Use the in-cluster URL to deploy into the cluster Argo CD runs in.

destination:
  server: https://kubernetes.default.svc
  namespace: web

Inline Helm Values

Under source.helm you supply values as YAML, exactly the overrides you would normally pass to helm install.

helm:
  values: |
    replicaCount: 3
    service:
      type: ClusterIP

Helm Parameters

For single overrides you can use helm.parameters, which behave like helm install --set name=value pairs.

helm:
  parameters:
    - name: replicaCount
      value: "3"

Argo CD Renders Helm

Argo CD does not run helm install. It runs helm template to render manifests, then applies them and tracks each resource it created.

The Sync Action

Bringing the live cluster in line with the Application is called a sync. You can trigger it from the UI, the CLI, or automatically.

argocd app sync nginx

Automated Sync

Set syncPolicy.automated so Argo CD applies new commits without a manual click, keeping the release continuously up to date.

syncPolicy:
  automated:
    prune: true
    selfHeal: true

Health and Status

Argo CD reports each Application as Synced or OutOfSync, plus a health status, so you see at a glance if the release is healthy.

A Git-Hosted Chart

The source can also be your own chart in a Git path, not just a packaged repo, letting Argo CD deploy charts straight from your monorepo.

source:
  repoURL: https://github.com/me/infra
  path: charts/api
  targetRevision: main

Commit, Then Sync

You edit the Application or its values in Git, commit, and Argo CD reconciles. The whole release is driven by what is in the repo.

Quick Check

Where do you put Helm overrides inside an Argo CD Application?

Recap: Argo CD Applications

An Argo CD Application links a Helm chart source to a destination, carries your values, and syncs the cluster to match Git. 🚀

Frequently asked questions

Is the “Deploying Charts with an Argo CD Application” lesson free?

Yes — the full text of “Deploying Charts with an Argo CD Application” is free to read here on the web, and the Helm Academy course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Helm Academy course, upgrade to CoddyKit PRO.

What will I learn in “Deploying Charts with an Argo CD Application”?

Pointing Argo CD at a chart and values. You practise Helm Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start Helm Academy?

No prior experience is required. Helm Academy on CoddyKit is structured for beginners through advanced learners; this is — lesson 2 of 4, so you can start here or from the beginning and move at your own pace.

How long does the “Deploying Charts with an Argo CD Application” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this Helm Academy lesson?

Yes. Every Helm Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. The GitOps Model for Helm Releases
  2. Deploying Charts with an Argo CD Application
  3. Flux HelmRelease and HelmRepository
  4. Drift Detection and Automated Sync
← Back to Helm Academy