Rancher Kubernetes API compatible with RKE, RKE2 and maybe others?

Overview

kctl

Rancher Kubernetes API compatible with RKE, RKE2 and maybe others?


Documentation is WIP.


Quickstart

pip install --upgrade kctl

Usage

https://ranchercluster.com/k8s/clusters/c-m-xxxxxx """ KctlClient.v1.list_apps_deployment() """ All v1 methods will now return the specified cluster context { 'type': 'collection', 'links': {'self': 'https://ranchercluster.com/k8s/clusters/c-m-xxxxxx/v1/apps.deployments/fleet-default'}, 'createTypes': {'apps.deployment': 'https://ranchercluster.com/k8s/clusters/c-m-xxxxxx/v1/apps.deployments'}, 'actions': {}, 'resourceType': 'apps.deployment', 'revision': '6671325', 'data': [] } """ ">
from lazycls.envs import set_env_from_dict


"""
---
Primary Configuration that takes env variables first.
---

host = envToStr('KCTL_HOST', 'http://localhost')
api_key = envToStr('KCTL_API_KEY')
api_key_prefix = envToStr('KCTL_API_KEY_PREFIX', 'token:')
api_token = envToStr('KCTL_API_TOKEN')
username = envToStr('KCTL_API_USERNAME')
password = envToStr('KCTL_API_PASSWORD')
auth_prefix = envToStr('KTCL_AUTH_PREFIX', 'authorization')

---
Rancher Specific Configuration
---

host: str = KctlCfg.host,
api_version: str = 'v1',
api_token: str = KctlCfg.api_token,
ssl_verify: bool = True,
strict: bool = False,
cache_time: int = 86400,
cache_dir: Union[Path, str] = DefaultCacheDir,
rancher_default_cluster: str = None,
rancher_fleet_name: str = 'fleet-default',
clusters_enabled: List[str] = [],
clusters_disabled: List[str] = []

---
Then validates against env variables during initialization, prioritizing env variables.
---

api_version = envToStr('KCTL_API_VERSION', api_version or 'v1')
ssl_verify = envToBool('KCTL_SSL_VERIFY', str(ssl_verify))
strict = envToBool('KCTL_STRICT', str(strict))
cache_time = envToInt('KCTL_CACHE_TIME', cache_time)
cache_dir = to_path(envToStr('KCTL_CACHE_DIR', None) or cache_dir)

rancher_default_cluster = envToStr('KCTL_RANCHER_DEFAULT_CLUSTER', rancher_default_cluster)
rancher_fleet_name = envToStr('KCTL_RANCHER_FLEET_NAME', rancher_fleet_name)

# If both are empty, then it will assume all clusters are enabled.
clusters_enabled = envToList('KCTL_CLUSTERS_ENABLED', clusters_enabled)
clusters_disabled = envToList('KCTL_CLUSTERS_DISABLED', clusters_disabled)

"""

data = {
    'KCTL_HOST': 'https://ranchercluster.com',
    'KCTL_API_TOKEN': 'token-xxxx:yyyyyyyyyyyyyyyyyyyyyyyyyyyy'
}

set_env_from_dict(data, override=True)
from kctl.client import KctlClient

## Rancher Specific
## This will build the object class dynamically
## enabling v1/v3 api methods.
## v3 is typically the management cluster
## v1 is cluster specific

KctlClient.build_rancher_ctx()

## KctlClient is a Class that doesnt require initialization

## Sync Method
cs = KctlClient.v3.list_cluster()

## Async Method
cs = await KctlClient.v3.async_list_cluster()

cs.data[-1].name

"""
local
"""

## Change Cluster Context

KctlClient.set_cluster('staging-cluster')

KctlClient.v1.url
"""
Now the primary api url will be called using the proper k8s path

-> https://ranchercluster.com/k8s/clusters/c-m-xxxxxx

"""

KctlClient.v1.list_apps_deployment()

"""
All v1 methods will now return the specified cluster context

{
    'type': 'collection', 
    'links': {'self': 'https://ranchercluster.com/k8s/clusters/c-m-xxxxxx/v1/apps.deployments/fleet-default'}, 
    'createTypes': {'apps.deployment': 'https://ranchercluster.com/k8s/clusters/c-m-xxxxxx/v1/apps.deployments'}, 
    'actions': {}, 
    'resourceType': 'apps.deployment', 
    'revision': '6671325', 
    'data': []
}
"""

Enhancements

This library borrows the dynamic initialization method from the primary rancher-client python library with several enhancements.

  • Async and Sync support via httpx / lazyapi, which can be initialized from a sync environment.

  • All async methods are accessed with async_ prefix of the same sync methods.

  • Inclusion of kubernetes python client which can be called via KctlClient.api, allowing setting of credentials once. Although this use case has not been extensively tested. (or rather, at all.)

  • Dynamic Access of downstream clusters without requiring reinitialization of the client

  • Enables context switching between clusters

  • Lazy caching of the api schema in kctl/kctl/.kctlcache

  • Enables access of v1/v3 api methods within the same client.

  • All returned results are objects, allowing dynamic access of object attributes, rather than strictly dict based.

  • Adds support for fleet namespaces to ensure proper url handling


Credits / Libraries Used

  • rancher-client: inspired dynamic schema initialization

  • kubernetes: included to manage credentials

  • lazyapi: personal library that is used to create the httpx clients.

  • lazycls: personal library that contains a lot of utility functions that enables this library to be as slim as possible.

You might also like...
A Kubernetes operator that creates UptimeRobot monitors for your ingresses

This operator automatically creates uptime monitors at UptimeRobot for your Kubernetes Ingress resources. This allows you to easily integrate uptime monitoring of your services into your Kubernetes deployments.

A Simple script to hunt unused Kubernetes resources.

K8SPurger A Simple script to hunt unused Kubernetes resources. Release History Release 0.3 Added Ingress Added Services Account Adding RoleBindding Re

Run Oracle on Kubernetes with El Carro

El Carro is a new project that offers a way to run Oracle databases in Kubernetes as a portable, open source, community driven, no vendor lock-in container orchestration system. El Carro provides a powerful declarative API for comprehensive and consistent configuration and deployment as well as for real-time operations and monitoring.

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

Chartreuse: Automated Alembic migrations within kubernetes
Chartreuse: Automated Alembic migrations within kubernetes

Chartreuse: Automated Alembic SQL schema migrations within kubernetes "How to automate management of Alembic database schema migration at scale using

Caboto, the Kubernetes semantic analysis tool
Caboto, the Kubernetes semantic analysis tool

Caboto Caboto, the Kubernetes semantic analysis toolkit. It contains a lightweight Python library for semantic analysis of plain Kubernetes manifests

Hubble - Network, Service & Security Observability for Kubernetes using eBPF
Hubble - Network, Service & Security Observability for Kubernetes using eBPF

Network, Service & Security Observability for Kubernetes What is Hubble? Getting Started Features Service Dependency Graph Metrics & Monitoring Flow V

A charmed operator for running PGbouncer on kubernetes.

operator-template Description TODO: Describe your charm in a few paragraphs of Markdown Usage TODO: Provide high-level usage, such as required config

Quick & dirty controller to schedule Kubernetes Jobs later (once)

K8s Jobber Operator Quickly implemented Kubernetes controller to enable scheduling of Jobs at a later time. Usage: To schedule a Job later, Set .spec.

Releases(v0.0.1)
Owner
Chief Architect @ Growth Engine
A Blazing fast Security Auditing tool for Kubernetes

A Blazing fast Security Auditing tool for kubernetes!! Basic Overview Kubestriker performs numerous in depth checks on kubernetes infra to identify th

Vasant Chinnipilli 934 Jan 04, 2023
Hubble - Network, Service & Security Observability for Kubernetes using eBPF

Network, Service & Security Observability for Kubernetes What is Hubble? Getting Started Features Service Dependency Graph Metrics & Monitoring Flow V

Cilium 2.4k Jan 04, 2023
MLops tools review for execution on multiple cluster types: slurm, kubernetes, dask...

MLops tools review focused on execution using multiple cluster types: slurm, kubernetes, dask...

4 Nov 30, 2022
A colony of interacting processes

NColony Infrastructure for running "colonies" of processes. Hacking $ tox Should DTRT -- if it passes, it means unit tests are passing, and 100% cover

23 Apr 04, 2022
This Docker container is build to run on a server an provide an easy to use interface for every student to vote for their councilors

This Docker container is build to run on a server and provide an easy to use interface for every student to vote for their councilors.

Robin Adelwarth 7 Nov 23, 2022
Run your clouds in RAID.

UniKlaud Run your clouds in RAID Table of Contents About The Project Built With Getting Started Installation Usage Roadmap Contributing License Contac

3 Jan 16, 2022
Kube kombu - Running kombu consumers with support of liveness probe for kubernetes

Setup and Running Kombu consumers Steps: Install python 3.9 or greater on your s

Anmol Porwal 5 Dec 10, 2022
pyinfra automates infrastructure super fast at massive scale. It can be used for ad-hoc command execution, service deployment, configuration management and more.

pyinfra automates/provisions/manages/deploys infrastructure super fast at massive scale. It can be used for ad-hoc command execution, service deployme

Nick Barrett 2.1k Dec 29, 2022
This project shows how to serve an TF based image classification model as a web service with TFServing, Docker, and Kubernetes(GKE).

Deploying ML models with CPU based TFServing, Docker, and Kubernetes By: Chansung Park and Sayak Paul This project shows how to serve a TensorFlow ima

Chansung Park 104 Dec 28, 2022
Bash-based Python-venv convenience wrapper

venvrc Bash-based Python-venv convenience wrapper. Demo Install Copy venvrc file to ~/.venvrc, and add the following line to your ~/.bashrc file: # so

1 Dec 29, 2022
Project 4 Cloud DevOps Nanodegree

Project Overview In this project, you will apply the skills you have acquired in this course to operationalize a Machine Learning Microservice API. Yo

1 Nov 21, 2021
Helperpod - A CLI tool to run a Kubernetes utility pod with pre-installed tools that can be used for debugging/testing purposes inside a Kubernetes cluster

Helperpod is a CLI tool to run a Kubernetes utility pod with pre-installed tools that can be used for debugging/testing purposes inside a Kubernetes cluster.

Atakan Tatlı 2 Feb 05, 2022
Rundeck / Grafana / Prometheus / Rundeck Exporter integration demo

Rundeck / Prometheus / Grafana integration demo via Rundeck Exporter This is a demo environment that shows how to monitor a Rundeck instance using Run

Reiner 4 Oct 14, 2022
Containerize a python web application

containerize a python web application introduction this document is part of GDSC at the university of bahrain you don't need to follow along, fell fre

abdullah mosibah 1 Oct 19, 2021
A cron monitoring tool written in Python & Django

Healthchecks Healthchecks is a cron job monitoring service. It listens for HTTP requests and email messages ("pings") from your cron jobs and schedule

Healthchecks 5.8k Jan 02, 2023
📦 Powerful Package manager which updates plugins & server software for minecraft servers

pluGET A powerful package manager which updates Plugins and Server Software for minecraft servers. Screenshots check all to check installed plugins fo

106 Dec 16, 2022
A charmed operator for running PGbouncer on kubernetes.

operator-template Description TODO: Describe your charm in a few paragraphs of Markdown Usage TODO: Provide high-level usage, such as required config

Canonical 1 Dec 01, 2022
Build Netbox as a Docker container

netbox-docker The Github repository houses the components needed to build Netbox as a Docker container. Images are built using this code and are relea

Farshad Nick 1 Dec 18, 2021
Chef-like functionality for Fabric

/ / ___ ___ ___ ___ | | )| |___ | | )|___) |__ |__/ | __/ | | / |__ -- Chef-like functionality for Fabric About Fabric i

Sébastien Pierre 1.3k Dec 21, 2022
Ajenti Core and stock plugins

Ajenti is a Linux & BSD modular server admin panel. Ajenti 2 provides a new interface and a better architecture, developed with Python3 and AngularJS.

Ajenti Project 7k Jan 03, 2023