kubify 9009.0.5

Automated EKS

Welcome!

Kubify OS, Version: 9009.0.5

Well hello there! Welcome to Kubify OS Python Package Repo

The Turn-Key DevOps/MLOps OS Developer-First Stack

Who is this for?

Data Scientists/Devs/DevOps/MLOps Person/Teams/Companies who want self service and autopilot

To rapid develop many services/models fast simultaneously on full env

1. Automated Self-Service Clouds and Services.

2. Automated DR. Automatic Multi-Cloud Failover.

3. Rapid Test/Develop many Services/Models Simultaneously.

4. Full Automated Integration Test. Stable Prod.

Turn Key DevOps/MLOps DR-Enabled Scalable Lowest-Cost Full Rapid Testing Stack

Ideoligy: If it works on your laptop/test/notebook, it works in prod

How?

DevEx First Class Ideology

Contributing:

1. devcontainer or container

2. tox

3. make docker

4. make pip

5. make pythons

6. make test

7. and more ..

AWS Loves Kubify.

On-Boarding

1. make clouds

2. kubfiy start-all

Docs

1. https://kubify-os.readthedocs.io

2. CONTRIBUTING.rst or/and USAGE.rst

Summary

Docker-Compose is a tool for DEVS testing.

Terraform is a tool for DEVOPS/MLOPS deploying.

Kubify combines the 2 worlds AND lowers your bill.

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:

1. make cloud cloud=[aws|gcp|azure]

2. make local

3. make local start-all

4. 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):

1. apple: make mac

2. ubuntu, debian and other debian-based: make deb

3. 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

1. DevContainer

2. Invoke Python Directly (pull image if missing tools)

3. Tox (multi-python testing)

4. Install Directly and Invoke Python Directly

# TODO: put link to automatic gitops docs # TODO: multi-cloud ArgoCD Helm-Native automation README explainer here # TODO: rapid testing explainer here