microk8s
skaffold
microk8s | skaffold | |
---|---|---|
8 | 83 | |
6,539 | 14,674 | |
- | 0.3% | |
9.3 | 9.2 | |
almost 2 years 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.
microk8s
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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.
skaffold
- Google to Discontinue Skaffold
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You've just inherited a legacy C++ codebase, now what?
A nice middle ground is using a tool like Google's Skaffold, which provides "Bazel-like" capabilities for composing Docker images and tagging them based on a number of strategies, including file manifests. In my case, I also use build args to explicitly set versions of external dependencies.
While I am in a Typescript environment with this setup at the moment, my personal experience that Skaffold with Docker has a lighter implementation and maintenance overhead than Bazel. (You also get the added benefit of easy deployment and automatic rebuilds.)
I quite liked using Bazel in a small Golang monorepo, but I ran into pain when trying to do things like include third-party pre-compiled binaries in the Docker builds, because of the unusual build rules convention. The advantage of Skaffold is it provides a thin build/tag/deploy/verify layer over Docker and other container types. Might be worth a look!
Kudos to the Google team building it! https://skaffold.dev
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Simplifying preview environments for everyone
To get a similar experience of preevy up, first we’ll need to split the build and deploy using process or alternatively employ tools that orchestrate build-tag-push-update-sync flow like Skaffold/Tilt.
- Is there a way to hot reload the code running in a container when I edit the codebase in VSCode?
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Set up docker and kubernetes in ubuntu 22.04
We will be using docker and microk8s from Canonical. For running our software during development, we will be using skaffold which is a great tool developed by Google.
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one container for a UI and one for express server. For dev would like to docker compose up. Couple questions
To add more context, if you are developing containers in a local dev environment, the minimum you should have is the Google Cloud SDK and Skaffold. The SDK will allow you to programmatically interact with Googleapis e.g. auth, services, resources. Skaffold will allow you to build and deploy to the cloud similar to working with a local dev environment.
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How do you develop cloud-native applications locally on Kubernetes?
I have used both Skaffold and Devspace. I prefer the latter.
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Launch HN: Moonrepo (YC W23) – Open-source build system
I wonder if it has some overlap with https://skaffold.dev/.
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Building a RESTful API With Functions
K3d and Skaffold for local development
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Does anyone else feel like this?
skaffold.dev - build in k8s - no more asking for the database password. All the plumbing to the backend is just done so it's easier for them to test and demo any branch
What are some alternatives?
microshift - A small form factor OpenShift/Kubernetes optimized for edge computing
argo-cd - Declarative Continuous Deployment for Kubernetes
rancher - Complete container management platform
devspace - DevSpace - The Fastest Developer Tool for Kubernetes ⚡ Automate your deployment workflow with DevSpace and develop software directly inside Kubernetes.
k3s - Lightweight Kubernetes
okteto - Develop your applications directly in your Kubernetes Cluster
docker - Moby Project - a collaborative project for the container ecosystem to assemble container-based systems [Moved to: https://github.com/moby/moby]
telepresence - Local development against a remote Kubernetes or OpenShift cluster
kind - Kubernetes IN Docker - local clusters for testing Kubernetes
helm - The Kubernetes Package Manager
liqo - Enable dynamic and seamless Kubernetes multi-cluster topologies
flux2 - Open and extensible continuous delivery solution for Kubernetes. Powered by GitOps Toolkit.