Deployment for an Avalanche node using Kubernetes.
For the purpose of this exercise, following tools will be used
For this exercise, minikube will be used to run kubernetes cluster locally on ubuntu 20.04 LTS
minikube start --cpus 8 --memory 10g
Using the scripts provided from Avalanchego github to build docker image from source https://github.com/ava-labs/avalanchego#docker-install
$ git clone https://github.com/ava-labs/avalanchego.git
$ ./scripts/build_image.sh
$ docker image ls
Am image with name and tag avalanchego:master will be created
Upload docker image builded from source to minikube
minikube image load avalanchego:master
Deployment k8s resources - deployment, PV, PVC and service
kubectl apply -f .
To monitor this instances of Avalanche node, we use Grafana/Premetheus to gather metrics and visualize data.
$ helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
$ helm repo update
$ helm install monitoring prometheus-community/kube-prometheus-stack
# expose grafana UI http endpoint
$ kubectl port-forward svc/monitoring-grafana 8080:80
# Default Username is admin
# Get password
$ kubectl get secret monitoring-grafana -o json | jq -r .'["data"]["admin-password"]' | base64 --decode
Once logged into Grafana UI, we can upload and use pre-made Dashboards
Source Reference: https://docs.avax.network/nodes/maintain/setting-up-node-monitoring