Install Devtron on Minikube, Microk8s, K3s, Kind

You can install and try Devtron on a high-end machine or on a Cloud VM. If you install it on a laptop/PC, it may start to respond slow, so it is recommended to uninstall Devtron from your system before shutting it down.

System Configurations for Devtron Installation

1. 2 vCPUs

2. 4GB+ of free memory

3. 20GB+ free disk space

Before you begin

Before we get started and install Devtron, we need to set up the cluster in our servers & install required tools

• Create cluster using Minikube or Kind or K3s

• Install Helm3

• Install kubectl

Install Devtron on your machine

1. Add Devtron repository

2. Install Devtron

3. Port-forward the devtron-service to access dashboard

helm repo add devtron https://helm.devtron.ai

helm install devtron devtron/devtron-operator \
--create-namespace --namespace devtroncd \
--set components.devtron.service.type=NodePort 

kubectl apply -f https://raw.githubusercontent.com/rancher/local-path-provisioner/master/deploy/local-path-storage.yaml

helm repo add devtron https://helm.devtron.ai

helm install devtron devtron/devtron-operator \
--create-namespace --namespace devtroncd \
--set components.devtron.service.type=NodePort

Devtron dashboard

To access dashboard when using Minikube as Cluster use this command, dashboard will automatically open on default browser.

minikube service devtron-service --namespace devtroncd

To access dashboard when using Kind/k3s as Cluster, use this command to port forward the devtron service to port 8000

kubectl -ndevtroncd port-forward service/devtron-service 8000:80

Dashboard http://127.0.0.1:8000.

Devtron Admin credentials

For admin login, use the username:admin, and run the following command to get the admin password:

kubectl -n devtroncd get secret devtron-secret -o jsonpath='{.data.ACD_PASSWORD}' | base64 -d

Install Devtron on Cloud VM (AWS ec2, Azure VM, GCP VM)

It is preferd to use Cloud VM with 2vCPU+, 4GB+ free Memory, 20GB+ Storage, Compute Optimized VM type & Ubuntu Flavoured OS.

1. Create Microk8s Cluster

sudo snap install microk8s --classic --channel=1.22
sudo usermod -a -G microk8s $USER
sudo chown -f -R $USER ~/.kube
newgrp microk8s
microk8s enable dns storage helm3
echo "alias kubectl='microk8s kubectl '" >> .bashrc
echo "alias helm='microk8s helm3 '" >> .bashrc
source .bashrc

1. Install devtron

helm repo add devtron https://helm.devtron.ai

helm install devtron devtron/devtron-operator \
--create-namespace --namespace devtroncd \
--set components.devtron.service.type=NodePort 

1. Ensure that the port on which the devtron-service runs is open in the VM's security group or network Security group.

Commad to get the devtron-service Port number

kubectl get svc -n devtroncd devtron-service -o jsonpath='{.spec.ports[0].nodePort}'