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Repository holding code for deploying a MLFlow server for storing ML models artifacts, experiments and runs.

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mlflow-helm

Repository holding code for deploying a MLFlow server for storing ML models artifacts, experiments and runs.

Execution steps

0. RUNNING MINIKUBE LOCAL CLUSTER

0.1. minikube start

😄  minikube v1.32.0 on Ubuntu 19.10
✨  Using the docker driver based on existing profile
💨  For improved Docker performance, Upgrade Docker to a newer version (Minimum recommended version is 20.10.0, minimum supported version is 18.09.0, current version is 19.03.8)
👍  Starting control plane node minikube in cluster minikube
🚜  Pulling base image ...
🏃  Updating the running docker "minikube" container ...
🐳  Preparing Kubernetes v1.28.3 on Docker 24.0.7 ...
🔎  Verifying Kubernetes components...
    ▪ Using image gcr.io/k8s-minikube/storage-provisioner:v5
🌟  Enabled addons: storage-provisioner, default-storageclass

❗  /usr/bin/kubectl is version 1.18.0, which may have incompatibilities with Kubernetes 1.28.3.
    ▪ Want kubectl v1.28.3? Try 'minikube kubectl -- get pods -A'
🏄  Done! kubectl is now configured to use "minikube" cluster and "default" namespace by default

0.2. minikube dashboard

🔌  Enabling dashboard ...
    ▪ Using image docker.io/kubernetesui/dashboard:v2.7.0
    ▪ Using image docker.io/kubernetesui/metrics-scraper:v1.0.8
💡  Some dashboard features require the metrics-server addon. To enable all features please run:

        minikube addons enable metrics-server


🤔  Verifying dashboard health ...
🚀  Launching proxy ...
🤔  Verifying proxy health ...
🎉  Opening http://127.0.0.1:43709/api/v1/namespaces/kubernetes-dashboard/services/http:kubernetes-dashboard:/proxy/ in your default browser...
Opening in existing browser session.

0.3 minikube addons enable ingress

💡  ingress is an addon maintained by Kubernetes. For any concerns contact minikube on GitHub.
You can view the list of minikube maintainers at: https://github.com/kubernetes/minikube/blob/master/OWNERS
    ▪ Using image registry.k8s.io/ingress-nginx/controller:v1.9.4
    ▪ Using image registry.k8s.io/ingress-nginx/kube-webhook-certgen:v20231011-8b53cabe0
    ▪ Using image registry.k8s.io/ingress-nginx/kube-webhook-certgen:v20231011-8b53cabe0
🔎  Verifying ingress addon...
🌟  The 'ingress' addon is enabled

1. INSTALLING HELM CHART

helm install mlflow mlflow-helm/

# Output:
# NAME: mlflow
# LAST DEPLOYED: Sat Mar 23 20:06:43 2024
# NAMESPACE: default
# STATUS: deployed
# REVISION: 1
# TEST SUITE: None

2. VERIFYING INGRESS REDIRECTING TRAFFIC

curl --resolve "mlflow-app.f1-platform.k8s.io:80$(minikube ip)" -i http://mlflow-app.f1-platform.k8s.io

3. VERIFYING INGRESS REDIRECTING TRAFFIC - WITH BROWSER

vim /etc/hosts

# add the following line: 
# <minikube_ip>    mlflow-app.f1-platform.k8s.io
# e.g. 
# 192.168.49.2    my-hello-app.k8s.io
#
# check with browser, going to address: http://mlflow-app.f1-platform.k8s.io

Example

Homepage

sample image

Experiment

sample image 2 sample image 3 sample image 4

Model

sample image 5

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Repository holding code for deploying a MLFlow server for storing ML models artifacts, experiments and runs.

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