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Local Development

In this guide, we will deploy Merlin on a local K3d cluster.

Prerequesites

  1. Kubernetes
    1. In this guide, we will use k3d with LoadBalancer enabled
  2. Kubernetes CLI (kubectl)
  3. Helm

Provision k3d cluster

First, you need to have k3d installed on your machine. To install it, please follow this documentation.

Next, create a new k3d cluster:

export CLUSTER_NAME=merlin-cluster
export K3S_VERSION=v1.26.7-k3s1
k3d cluster create $CLUSTER_NAME --image rancher/k3s:$K3S_VERSION --k3s-arg '--disable=traefik,metrics-server@server:*' --port 80:80@loadbalancer

Install Merlin

You can run quick_install.sh to install Merlin and it's components:

# From Merlin root directory, run:
./scripts/quick_install.sh

Check Merlin installation

kubectl get po -n caraml
NAMESPACE         NAME                                        READY   STATUS    RESTARTS   AGE
caraml            merlin-7bd99fd784-kb4ls                     2/2     Running   0          10m
caraml            merlin-7bd99fd784-pwcwz                     2/2     Running   0          10m
caraml            merlin-merlin-postgresql-0                  1/1     Running   0          10m
caraml            merlin-mlflow-656fbd57cf-45fqp              1/1     Running   0          10m
caraml            merlin-mlflow-postgresql-0                  1/1     Running   0          10m
caraml            merlin-mlp-688667fcdb-lpq52                 1/1     Running   0          10m
caraml            merlin-mlp-postgresql-0                     1/1     Running   0          10m

Once everything is Running, you can open Merlin in http://merlin.mlp.${INGRESS_HOST}.nip.io/merlin. From here, you can run Jupyter notebook examples by setting merlin.set_url("merlin.mlp.${INGRESS_HOST}.nip.io").