python
kind
python | kind | |
---|---|---|
22 | 183 | |
6,444 | 12,797 | |
1.2% | 1.0% | |
7.9 | 8.9 | |
6 days ago | 5 days ago | |
Python | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
python
- Show HN: Kr8s a batteries-included Python client library for Kubernetes
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How can I get a list of all namespaces within a specific Kubernetes cluster, using the Kubernetes API?
One option is to use list_namespace(), as described in https://github.com/kubernetes-client/python/blob/master/kubernetes/docs/CoreV1Api.md
- python-k8sclient documentatiom
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Running `connect_get_namespaced_pod_exec` using kubernetes client corev1api gives bad request
I have checked the python version == 2.7 and pip freeze - ipaddress==1.0.22, urllib3==1.24.1 and websocket-client==0.54.0 are the versions which satisfy the requirement - as mentioned here: https://github.com/kubernetes-client/python/blob/master/README.md#hostname-doesnt-matchfollowed the issue on this thread - https://github.com/kubernetes-client/python/issues/36 - not much help.
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How to use the kubernetes-client for executing "kubectl apply"
kubectl apply -f class.yamlkubectl apply -f rbac.yamlkubectl apply -f deployment-arm.yaml I want to use the kubernetes-client written in python to replace it. My current code, loads the there yaml files (using pyyaml), edits them a bit, inserts into a file and use the command line kubectl to execute those three commands. Some of the code:
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Tell HN: Amusing Substitutions for Class Keyword
In the Kubernetes Python client code it's called "klass":
https://github.com/kubernetes-client/python/blob/1a0cb469528e6b2bdeb3eb2c06945f1c22303dfd/kubernetes/client/api_client.py#L266
and in Apache ecosystem it's called clazz:
https://github.com/search?q=org%3Aapache+clazz&type=code
Just thought it was amusing and wanted to share
- Connecting to EKS from a Python Lambda
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Leader Election In Kubernetes
One way is to use configmap lock https://github.com/kubernetes-client/python/tree/master/kubernetes/base/leaderelection
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Unable to connect to kubernetes python api - .kube/config file not found
I'm having trouble connecting to the kubernetes python client even though I'm following the examples here in the api.
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Automate All the Boring Kubernetes Operations with Python
As you can imagine, that's a lot of functions to choose from, luckily all of them are listed in docs and you can click on any one of them to get an example of its usage.
kind
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Take a look at traefik, even if you don't use containers
Have you tried https://kind.sigs.k8s.io/? If so, how does it compare to k3s for testing?
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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 – 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.
What are some alternatives?
helm - The Kubernetes Package Manager
minikube - Run Kubernetes locally
kubebuilder - Kubebuilder - SDK for building Kubernetes APIs using CRDs
k3d - Little helper to run CNCF's k3s in Docker
pyJoules - A Python library to capture the energy consumption of code snippets
lima - Linux virtual machines, with a focus on running containers
bicep - Bicep is a declarative language for describing and deploying Azure resources
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.
control-flag - A system to flag anomalous source code expressions by learning typical expressions from training data
colima - Container runtimes on macOS (and Linux) with minimal setup
szurubooru - Image board engine, Danbooru-style.
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...