helm-charts

Galileo Helm Chart

Installation

Before installing the Galileo Helm chart, certain secrets need to be set up in your Kubernetes cluster. These secrets are essential for private Docker registry access.

Prerequisites for Installation

Ensure the following secrets are added to your Kubernetes namespace before proceeding with the Galileo Helm chart installation:

kubectl create ns galileo
kubectl apply -f galileo-docker-registry-secret.yaml -n galileo

This command sequence creates the galileo namespace and applies the necessary secret configurations for the Docker registry, API, UI, and MinIO services.

Installing the Chart

With the prerequisites in place, you can install the Galileo Helm chart using the following commands:

helm dependency update ./charts/galileo
helm install galileo ./charts/galileo --namespace galileo --create-namespace

Updates

helm upgrade galileo ./charts/galileo --namespace galileo

Setting up a Local Cluster with k3d

To set up a local Kubernetes cluster suitable for the Galileo Helm chart, you can use k3d, which is a lightweight wrapper around k3s running in Docker. This setup is ideal for development and testing purposes.

Prerequisites

Docker installed and running on your machine.
k3d installed. If you don’t have k3d installed, you can install it by following the instructions on the k3d GitHub page.

Creating the Cluster

Open your terminal.
Execute the following command to create a new k3d cluster named galileo-local. This command sets up a cluster with 3 agent nodes. It also labels the first agent node as galileo-core and the second agent node as galileo-runner, which can be useful for specific deployments that target these labels. Additionally, it maps ports 80 and 443 from the load balancer to your local machine, allowing you to access services deployed in the cluster via these common HTTP and HTTPS ports.

    k3d cluster create galileo-local \
    --agents 3 \
    --k3s-arg "--node-label=galileo-node-type=galileo-core@agent:0" \
    --k3s-arg "--node-label=galileo-node-type=galileo-runner@agent:1" \
    --port "80:80@loadbalancer" \
    --port "443:443@loadbalancer"

Wait for the command to complete. This may take a few minutes as k3d pulls the necessary Docker images and initializes the cluster nodes.

Verifying the Cluster

To ensure your k3d cluster is up and running, you can use the following command:

kubectl cluster-info

This command should return information about the Kubernetes master and other services running in your cluster, indicating that it’s ready for use. Next Steps

Once your local cluster is set up, you can proceed with installing the Galileo Helm chart into this cluster by following the installation instructions above.

Integrating Load Balancer Controllers

AWS Instructions

Install the AWS Load Balancer Controller add-on as per the the official AWS documentation