This is the Docker & Kubernetes config that accompanies my blog post Deploying ML workloads with Azure and Kubernetes.

Humaniod Learning Task

You should first create the docker container image and test locally..

cd docker
docker build -t gretkowski/kubeevo:v1 -f Dockerfile .

make sure everything is good w/ the container image, then push it to your private image registry.

You then use the rest of the YAML files - modified to suit your environment - to deploy the master and worker containers to your Kubernetes cluster

Project Name	Stars	Most Recent Commit	Open Issues	License	Language
Ks	222	4 years ago	1	mit	Python
A series of Kubernetes walk-throughs
Evolution	40	5 days ago	13	apache-2.0	Go
Evolution process of The Falco Project
Airshipctl	37	a year ago	50	apache-2.0	Go
A CLI for managing declarative infrastructure.
Es_on_gke	32	2 years ago		apache-2.0	Python
Run evolution strategies on Google Kubernetes Engine
Proof Pad	7	3 months ago	2	apache-2.0	TypeScript
A web IDE for ACL2 using a Kubernetes based backend. Evolution of https://github.com/calebegg/proof-pad-classic
Microservice Realm	6	3 years ago		mit
A blog about it's own development and evolution running on kubernetes.
Niwrad	6	2 years ago	7	mit	C#
Distributed multiplayer sandbox evolution simulation
Kube Es Starter	3	5 years ago		apache-2.0	Shell
Machine Learning in Azure & Kubernetes using OpenAI Gym/RoboSchool and Evolution Strategies

Kube Es Starter