Automated EKS
Project description
Welcome!
Kubify OS, Version: 9003.1.7
Well hello there! Welcome to Kubify. The Turn-Key DevOps/MLOps OS Developer-First Stack.
Who is this for?
Data Scientists/Devs/DevOps who want self service.
To rapid develop many services/models fast simultaneously on full real environment.
Why?
Because Docker-Compose and Terraform are 2 different tools, so I fixed it.
First class rapid testing, all your services listening for folder changes, so you can code fast, really fast.
If it works on your laptop, it works in prod.
How?
DevEx First Class Ideology
Usage?
See USAGE.rst
Infra Diagram?
See terraform/README.rst
Magic? Yes. Pure Magic.
This is a python package and a docker image (multi-arch).
PyPi
DockerHub
Cloud:
make cloud cloud=aws`
(optional) make cloud cloud=gcp # TODO: enable for multi-cloud site-reliability backing AWS
(optional) make cloud cloud=azure
You have a redundant cloud!
Usage:
pip install kubify
(optional) have a services folder (see examples/simple)
(optional) have a terraform folder (see examples/simple)
then use the python functions or cli
Enjoy Rapid Testing!
Contributing:
open with DevContainer in IDE of your choice
tox all python environments make pythons (envs go in ./.tox/[env]/bin/python3)
make docker
install develop with pip make pip
test on all versions of python make pythons
make test
your python development version/workflow of choice
Happy Coding!
Who are you?
I have a ton of MLOps and DevOps experience. I want to build an open source turn-key MLOps/DevOps stack, developer-first, self-service and redunant, as well as lowest cost (arm/spot) and scalable.
I am looking for contributors to build Kubify OS into a full-force turn-key DevEx solution.
Please contribute!
We all want self service turn key. It has arrived. No more K8s pains. Please contribute.
TODO: Implement DR Automation
Kubify has been blessed by AWS.
To use the python package
You can import kubify (we ship to PyPi), and then you can override any folder (such as terraform or services folders) by having folder with the same name in your repo.
See ./examples/simple for Python Package usage example.
To run this repo directly
To contribute to Kubify Open Source (and I hope you do), then clone this repo and:
make cloud cloud=[aws|gcp|azure]
make local
make local start-all
make local [service]
All the dependant services will start and will listen for code changes as well. Efficiently edit the entire codebase.
To install directly on workstation
To install directly on your workstation (instead of just using the container):
apple: make mac
ubuntu, debian and other debian-based: make deb
rhel, centos and other epel-based: make epel
Environment Isolation
Security Minute: You should not give prod access to anyone (but devs need to debug urgent issue in prod). How?
cd services/example-node-complex-svc
make local prod
What Just Happened?
You are hot patching many services locally (and with the full real environment) without access to data, but with the full real prod! Kubernetes can be amazing, and it is, with Kubify..
Contributing Workflow Patterns
DevContainer
Invoke Python Directly (pull image if missing tools)
Tox (multi-python testing)
Install Directly and Invoke Python Directly
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