Developer Setup with local Kubernetes Cluster¶

You can install a local kubernetes cluster with kind:

sudo apt install golang-go
go install sigs.k8s.io/kind@v0.30.0

Add go/bin folder to your path. For example export PATH="$HOME/go/bin:$PATH"

Create the kubernetes cluster like this

kind create cluster --config kind-config.yaml

A tested config can be found at https://github.com/Visual-Analytics-Toolbox/Core-Infrastructure/blob/main/kind/kind-config.yaml

By default you can't pull our images from github. You need to be added to the Visual Analytics Org first and then create a Personal Access Token and add this to the cluster.

kubectl create secret docker-registry github-access \
  --docker-server=ghcr.io \
  --docker-username=YOUR_GITHUB_USERNAME \
  --docker-password=ghp_YOUR_TOKEN_HERE

and then add this to the default serviceaccount:

kubectl patch serviceaccount default \
  -p '{"imagePullSecrets": [{"name": "github-access"}]}' \
  --namespace=default

The script to deploy all helm charts needed for local deployment are in the Deployments repo: https://github.com/Visual-Analytics-Toolbox/VAT-Deployments After all helm charts are installed you can access django by exposing the service at 127.0.0.1:8080:

kubectl port-forward svc/vat-svc 8080:80 -n vat-backend