Rekcurd-dashboard

Rekcurd dashboard is the project for managing ML model and deploying ML module. Any Rekcurd service is manageable. It can deploy the Rekcurd service to Kubernetes cluster and can control traffic weights which Istio manages.

Parent Project

https://github.com/rekcurd/community

Components

• Rekcurd: Project for serving ML module.
• Rekcurd-dashboard: Project for managing ML model and deploying ML module.
• Rekcurd-client: Project for integrating ML module.

Screen shot

Environment

• Python 3.6
• flask 1.0.x
• Node.js 8.x
• yarn

Installation

From source:

$ git clone --recursive https://github.com/rekcurd/dashboard.git
$ cd dashboard/frontend
$ yarn install && yarn run build && cd ..
$ pip install -e .

From PyPi directly:

$ pip install rekcurd-dashboard

How to use

Check the belows in detail.

• Backend
• Frontend

Generate settings

You can generate the template of settings.yml file.

$ rekcurd_dashboard template

Boot command

$ rekcurd_dashboard db --settings settings.yml init
$ rekcurd_dashboard db --settings settings.yml migrate
$ rekcurd_dashboard server --settings settings.yml

docker-compose (Deprecated)

# For dev
$ docker-compose -f docker-compose/docker-compose.develop.yaml up
# For prod
$ docker-compose -f docker-compose/docker-compose.production.yaml up

For AWS users

If you run this on AWS (such as EKS), you need to configure aws-cli setting.
Follow the official document.

Rekcurd-dashboard docker container will mount the configuration files,
so the IAM account used by configuration needs to have enough permissions to access to Kubernetes resources on AWS.

# For dev
$ docker-compose -f docker-compose/aws/docker-compose.develop.yaml up
# For prod
$ docker-compose -f docker-compose/aws/docker-compose.production.yaml up

How to use WebUI

See docs in detail.

Test

Unittest

$ python -m unittest test/*/test_*

e2e test

## sudo sh scripts/kube-init.sh
$ sudo sh e2e_test/startup.sh
$ python -m unittest
$ sudo sh e2e_test/cleanup.sh

Kubernetes support

Rekcurd can be run on Kubernetes. See community repository.