Rapid Testing Framework for Kubernetes
Project description
dev toolkit for kubernetes multi-cloud multi-service
release targets
docker/podman https://hub.docker.com/repository/docker/willy0912/kubify
pip/pypa/poerty https://pypi.org/project/kubify
on-boarding
make clouds
kubfiy start-all
welcome
kubify os oss, version: 9020.0.29
getting started
local
$ [pip|conda] install kubify
$ kubify --up
$ kubify --start-all
$ cd services[][] && kubify --start
$ kubify --down- compatible with cloud providers
aws
gcp
azure
- compatible with devops tools
terraform
terraform cdk
cloudformation
serverless framework
helm and kustomize
“if it works on my computer, it will work in the cloud”
cloud
$ make clouds
$ make clouds-deletedocs
CONTRIBUTING.rst
USAGE.rst
aws partner
enjoy the fun
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). Zero Trust, With No Data Access, yet Identical Env. How?
cd services/example-node-complex-svc
make local prodWhat 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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