Setting Up Devtron on Kubernetes Cluster

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Setting Up Devtron on Kubernetes Cluster


3 min read

Devtron is a production-ready Kubernetes-native Application Management Platform that covers all your requirements on Kubernetes, such as continuous integration, continuous delivery, GitOps, observability, troubleshooting, security, and governance.

I heard about Devtron first at KCD Bengaluru and I couldn't help but get excited when I was told that Devtron could manage your application requirements on Kubernetes end to end. I had to give it a try already.


  • kubectl Installation (On Windows), Refer Install Tools | Kubernetes for MacOS / Linux.

      curl.exe -LO ""
  • helm Installation, download helm release based on your system, Releases · helm/helm (

  • Skip this step if you already have kubectl and helm installed


  • Create a 2-Node k8s Cluster from your preferred provider, in this article - I'll be using Digital Ocean.

    • Minimum system configurations required for Devtron Installation

      1. 1.2 vCPUs

      2. 2.4GB+ of free memory

      3. 3.20GB+ free disk space

  • I'll be choosing node size with 2.5GB RAM(usable 4GB)/2vCPU configuration with two of them

  • Once your cluster is up and running, check the node status

  • Install Devtron with CI/CD along with GitOps (Argo CD)

      helm repo add devtron
      helm install devtron devtron/devtron-operator \
      --create-namespace --namespace devtroncd \
      --set installer.modules={cicd} \
      --set argo-cd.enabled=true
  • You'll get instructions like the below screenshot after running the above command

  • Get the status of all pods in the devtroncd namespace

  • Get the status of all jobs in devtroncd namespace

  • Access the Ingress Endpoint, IP address from the below command

      kubectl get svc -n devtroncd devtron-service -o jsonpath='{.status.loadBalancer.ingress}'
  • Log in as administrator with the password from the below command:
    kubectl -n devtroncd get secret devtron-secret -o jsonpath='{.data.ADMIN_PASSWORD}' | base64 -d

  • After logging in, you can either pick to create app from scratch or deploy from available helm charts

  • This is an example of deploying metrics-server helm chart

  • Before and after metrics-server installation

  • Memory/CPU consumption of pods in devtroncd namespace

  • You can add integrations from 'Discover integrations' section, ex: Grafana (Monitoring)

  • Explore resource browser to get a view into currently deployed kubernetes resources

  • Try to install Prometheus helm chart from the CLI

      helm install my-release oci://
  • Go back to the Devtron UI to observe that your helm installation from CLI is auto-discovered

  • Port forward Prometheus service to 9090 to view it on your localhost

      kubectl port-forward --namespace prometheus-operator svc/my-release-kube-prometheus-prometheus 9090:9090
  • Explore different metrics and their graphs

  • Devtron also enables you to ssh into the node of the connected k8s cluster

That's all from the setup side of things. Please share your implementations of Devtron in the comments.
Thank you!