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Katana ML Skipper

PyPI - Python GitHub Stars GitHub Issues Current Version

This is a simple and flexible ML workflow engine. It helps to orchestrate events across a set of microservices and create executable flow to handle requests. Engine is designed to be configurable with any microservices. Enjoy!

Skipper

Author

Katana ML, Andrej Baranovskij

Instructions

Start/Stop

Docker Compose

Start:

docker-compose up --build -d

Stop:

docker-compose down

This will start RabbitMQ container. To run engine and services, navigate to related folders and follow instructions.

Web API FastAPI endpoint:

http://127.0.0.1:8080/api/v1/skipper/tasks/docs

Kubernetes

NGINX Ingress Controller:

If you are using local Kubernetes setup, install NGINX Ingress Controller

Build Docker images:

docker-compose -f docker-compose-kubernetes.yml build

Setup Kubernetes services:

./kubectl-setup.sh

Skipper API endpoint published through NGINX Ingress (you can setup your own host in /etc/hosts):

http://kubernetes.docker.internal/api/v1/skipper/tasks/docs

Check NGINX Ingress Controller pod name:

kubectl get pods -n ingress-nginx

Sample response, copy the name of 'Running' pod:

NAME                                       READY   STATUS      RESTARTS   AGE
ingress-nginx-admission-create-dhtcm       0/1     Completed   0          14m
ingress-nginx-admission-patch-x8zvw        0/1     Completed   0          14m
ingress-nginx-controller-fd7bb8d66-tnb9t   1/1     Running     0          14m

NGINX Ingress Controller logs:

kubectl logs -n ingress-nginx -f <POD NAME>

Skipper API logs:

kubectl logs -n katana-skipper -f -l app=skipper-api

Remove Kubernetes services:

./kubectl-remove.sh

Components

  • api - Web API implementation
  • workflow - workflow logic
  • services - a set of sample microservices, you should replace this with your own services. Update references in docker-compose.yml
  • rabbitmq - service for RabbitMQ broker
  • skipper-lib - reusable Python library to streamline event communication through RabbitMQ
  • logger - logger service
  • OCI - deployment guide for Oracle Cloud

URLs

  • Web API
http://127.0.0.1:8080/api/v1/skipper/tasks/docs

If running on local Kubernetes with Docker Desktop:

http://kubernetes.docker.internal/api/v1/skipper/tasks/docs
  • RabbitMQ:
http://localhost:15672/ (skipper/welcome1)

If running on local Kubernets, make sure port forwarding is enabled:

kubectl -n rabbits port-forward rabbitmq-0 15672:15672
  • PyPI
https://pypi.org/project/skipper-lib/

Usage

You can use Skipper engine to run Web API, workflow and communicate with a group of ML microservises implemented under services package.

License

Licensed under the Apache License, Version 2.0. Copyright 2020-2021 Katana ML, Andrej Baranovskij. Copy of the license.