client-python
Official Python client library for kubernetes [Moved to: https://github.com/kubernetes-client/python] (by kubernetes-incubator)
microk8s
MicroK8s is a small, fast, single-package Kubernetes for developers, IoT and edge. [Moved to: https://github.com/canonical/microk8s] (by ubuntu)
client-python | microk8s | |
---|---|---|
1 | 8 | |
5,232 | 6,539 | |
- | - | |
9.1 | 9.3 | |
over 1 year ago | almost 2 years ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
client-python
Posts with mentions or reviews of client-python.
We have used some of these posts to build our list of alternatives
and similar projects.
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isinstance() unexpectedly returning False
I am using the kubernetes python client. In the event that kubernetes isn't available when my code starts up, I would like to retry the connection.
microk8s
Posts with mentions or reviews of microk8s.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-21.
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How to enable startup probe on GKE 1.16?
FROM postgres:11CMD sleep 30 && postgres I'm reusing this example from the same issue with microk8s where I could solve it by changing the kubelet and kubeapi-server configuration files (see https://github.com/ubuntu/microk8s/issues/770 in case you're interested). I assume this is not possible with GKE clusters as they don't expose these files, probably for good reasons.
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How to configure kubernetes (microk8s) to use local docker images?
$ kubectl get podsNAME READY STATUS RESTARTS AGEbackend-deployment-66cff7d4c6-gwbzf 0/1 ImagePullBackOff 0 18s Before that it was ErrImagePull. So, my question is, how to tell it to use local docker images? Somewhere on the internet I read that I need to build images using microk8s.docker but it seems to be removed.
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I was so excited to join this community
There's a whole community of hobbyists building Raspberry Pi clusters, porting things to work on various Arm processors, exploring and contributing to minimalist distros like k0s and microk8s, etc.
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no persistent volumes available for this claim and no storage class is set
same pvc worked fine on "GKE" (Google Kubernetes Engine) but failing in my local cluster using microk8s
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Is Kubernetes Still Just an Ops Topic?
Local Kubernetes Clusters: It is now possible to run Kubernetes on local machines with tools such as Kubernetes in Docker (kind), minikube or MicroK8s. This allows developers to run their first experiments completely isolated from others and with low risk and low cost.
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Kubernetes Development Environments – A Comparison
Local Kubernetes clusters are clusters that are running on the individual computer of the developer. There are many tools that provide such an environment, such as Minikube, microk8s, k3s, or kind. While they are not all the same, their use as a development environment is quite comparable.
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Local Cluster vs. Remote Cluster for Kubernetes-Based Development
Since the developer is the only one who has to access this cluster for development, local clusters can be a feasible solution for this purpose. Over time, several solutions have emerged that are particularly made for running Kubernetes in local environments. The most important ones are Kubernetes in Docker (kind), MicroK8s, minikube and k3s. For a comparison of these local Kubernetes options, you can look at this post.
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The Journey of Adopting Cloud-Native Development
Another very important distinction of this level is that developers have direct access to Kubernetes for the first time. While it is not strictly necessary, the standard case for the Kubernetes access with these tools is to use a local Kubernetes cluster, i.e. a Kubernetes cluster started with tools such as minikube, kind or MicroK8s on the local computer of the developer.