Local Development
In this guide, we will deploy Merlin on a local K3d cluster.
Prerequesites
Kubernetes
In this guide, we will use k3d with LoadBalancer enabled
Kubernetes CLI (kubectl)
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")
.
Last updated