kopf
kind
kopf | kind | |
---|---|---|
6 | 182 | |
1,958 | 12,797 | |
- | 1.0% | |
7.6 | 8.9 | |
26 days ago | 1 day ago | |
Python | Go | |
MIT License | Apache License 2.0 |
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kopf
- A Kubernetes Operator in Rust
- I wrote a kubernetes operator for βlocustβ, should I open source it
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Automate All the Boring Kubernetes Operations with Python
If you're looking for more examples beyond what was shown and referenced above, I recommend exploring other popular tools that make use Python Kubernetes client, such kopf - the library for creating Kubernetes operators. I also find it very useful to take a look at tests of the library itself, as it showcases its intended usage such this client test suite.
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is it possible to have components of a specific namespace run on specific nodes ?
Depending on how you want to configure your selecting logic, it can be solved by mutating admission webhooks for the pods. For example, in Kopf, the simplest approach would be:
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Kopf 1.31 now supports admission webhooks. Feedback is welcome!
Hello. Kopf (a framework to write Kubernetes operators in Python) 1.31 is released and has finally got admission webhooks β https://github.com/nolar/kopf/releases/tag/1.31.0. I would appreciate some feedback from experienced operator developers on how easy or hard it is to write webhooks now, and what is missing and makes it inconvenient. The docs: https://kopf.readthedocs.io/en/stable/admission/ For a brief preview, it looks like this:
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lightkube 0.6.0 - python kubernetes client
Correct, using generic resources with Client.watch should work. In general to create more complex operators I would recommend to check out kopf.
kind
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How to distribute workloads using Open Cluster Management
To get started, you'll need to install clusteradm and kubectl and start up three Kubernetes clusters. To simplify cluster administration, this article starts up three kind clusters with the following names and purposes:
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15 Options To Build A Kubernetes Playground (with Pros and Cons)
Kind: is a tool for running local Kubernetes clusters using Docker container "nodes." It was primarily designed for testing Kubernetes itself but can also be used for local development or continuous integration.
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Exploring OpenShift with CRC
Fortunately, just as projects like kind and Minikube enable developers to spin up a local Kubernetes environment in no time, CRC, also known as OpenShift Local and a recursive acronym for "CRC - Runs Containers", offers developers a local OpenShift environment by means of a pre-configured VM similar to how Minikube works under the hood.
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K3s Traefik Ingress - configured for your homelab!
I recently purchased a used Lenovo M900 Think Centre (i7 with 32GB RAM) from eBay to expand my mini-homelab, which was just a single Synology DS218+ plugged into my ISP's router (yuck!). Since I've been spending a big chunk of time at work playing around with Kubernetes, I figured that I'd put my skills to the test and run a k3s node on the new server. While I was familiar with k3s before starting this project, I'd never actually run it before, opting for tools like kind (and minikube before that) to run small test clusters for my local development work.
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Mykube - simple cli for single node K8S creatiom
Features compared to https://kind.sigs.k8s.io/
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Hacking in kind (Kubernetes in Docker)
Kind allows you to run a Kubernetes cluster inside Docker. This is incredibly useful for developing Helm charts, Operators, or even just testing out different k8s features in a safe way.
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Choosing the Next Step: Docker Swarm or Kubernetes After Mastering Docker?
Check out KinD
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K3s β Lightweight Kubernetes
If you're just messing around, just use kind (https://kind.sigs.k8s.io) or minikube if you want VMs (https://minikube.sigs.k8s.io). Both work on ARM-based platforms.
You can also use k3s; it's hella easy to get started with and it works great.
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Two approaches to make your APIs more secure
We'll install APIClarity into a Kubernetes cluster to test our API documentation. We're using a Kind cluster for demonstration purposes. Of course, if you have another Kubernetes cluster up and running elsewhere, all steps also work there.
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observing logs from Kubernetes pods without headaches
yes I know there is lens, but it does not allow me to see logs of multiple pods at same time and what is even more important it is not friendly for ephemeral clusters - in my case with help of kind I am recreating whole cluster each time from scratch
What are some alternatives?
awx-operator - An Ansible AWX operator for Kubernetes built with Operator SDK and Ansible. π€
minikube - Run Kubernetes locally
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
k3d - Little helper to run CNCF's k3s in Docker
fastapi-crudrouter - A dynamic FastAPI router that automatically creates CRUD routes for your models
lima - Linux virtual machines, with a focus on running containers
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
vcluster - vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
colima - Container runtimes on macOS (and Linux) with minimal setup
pykorm - A python π kubernetes βΈοΈ ORM π. Very useful when writing operators for your CRDs with Kopf.
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...