hyperkit
telepresence
hyperkit | telepresence | |
---|---|---|
10 | 38 | |
3,574 | 6,359 | |
0.2% | 0.9% | |
0.0 | 9.8 | |
about 1 year ago | 10 days ago | |
C | Go | |
BSD 2-clause "Simplified" License | GNU General Public License v3.0 or later |
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.
hyperkit
- HyperKit on Apple Silicon
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Trying Finch and introduce containerd
The author uses a Mac and uses Docker Desktop or colima x Docker CLI to realize a Docker development environment. Dcoker Desktop uses an internal HyperKit (macOS hypervisor) to launch a Linux VM and run dockerd in it. Docker Desktop is based on Lima, and it generates Lima configuration files, and it is used to run Linux.
- LXD containers on macOS at near-native speeds
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Docker on OpenBSD?
Sorry, I was misinformed. It seems MacOS still does use a tool called hyperkit to run a (presumably linux) VM as a backend for docker. I thought it was using something similar to jails.
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New to ARM64 processors world
You might try using HyperKit as the hypervisor with Kubernetes. It uses Apple's own hypervisor. Minikube, or rather docker, supports it. I would go with minicube as you can start and stop it as needed with ease.
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Anyone know how to pass a USB device from M1 mac to Ubuntu container?
I've been reading many forum posts: moby/hyperkit#149 docker/for-mac#900
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A modern toolkit to start working with container images on macOS that meets your needs without requiring a Docker Daemon or even Docker Desktop
What’s the magic behind docker working on macOS?. The answer is virtualization accomplished by the moby/hyperkit hypervisor (AFAIK), a toolkit for embedding hypervisor capabilities in your application, which means that dockerd works in a VM virtualized by the hyperkit. Why I’m telling you this is once you decide to work with containerd on your macOS environment to discover capabilities and more adapt to it because we assume you use containerd in your Kubernetes environment as a default container runtime, you had to have the same virtualization technology under the hood to let containerd working on macOS. Also, you need to have some client tooling to interact with containerd by keeping simplicity and usability in mind.
- Windows PC vs Mac?
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Chromium Browser
Docker on Mac is based on Hyperkit which is a lightweight VM. https://github.com/moby/hyperkit Crostini is running in a full KVM instance. You challenged me about the Termina shell. Type it in and see if I'm right. No need to debate this anymore when you can verify for yourself.
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Docker is not allowed for „big“ companies anymore
Docker Desktop doesn't use virtualbox behind the scenes. It uses hyperkit.
telepresence
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12 Factor: 13 years later
Solutions are many, and could include Docker Compose, VS Code dev containers, Telepresence, Localstack or setting up temporary AWS accounts as a development environment for serverless applications.
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New job has no way of coding locally?
I trialled Telepresence[0] for my company 2 or 3 years ago, that does this sort of thing very slickly. It didn't quite work for us back then, I forget why, but I imagine it's come along a way since then.
[0] https://www.telepresence.io
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Introducing a tool for running diagnostic and administrative tools locally on your machine, but with outgoing network connectivity as if they're running in your k8s cluster.
How does this compare to Telepresence?
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Let's debug a kubernetes pod locally
seems to be very similar to https://www.telepresence.io
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Is it ok not to be able to run application locally?
If they're web services you work on, you might try https://www.telepresence.io/ (Requires something to be installed in the cluster though, easily done).
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Best Neovim PHP IDE option?
Depending on the context, the type of code you do, you may want to also look into the sister protocol to LSP, DAP—debug adaptor protocol. It really depends on your context whether local dev, dev against a remote server, and if the latter whether you run under GCP and thus have the “Snapshot Debugger”, or under Kubernetes with something like Ambassadar/Emissary and thus can run Telepresence, whether you do local or remote Docker and thus most IDEs don't necessarily magically work especially if the containers are competently locked down, etc.
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LXD containers on macOS at near-native speeds
If you're on Kubernetes remotely, Telepresence [0] might be worth a look.
[0] https://www.telepresence.io
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I wrote an OSS tool to tunnel your IDE to Kubernetes
Sounds Like Telepresence (https://github.com/telepresenceio/telepresence) which intercepts traffic to a service on the cluster and directs it to your local environment.
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mirrord 3.0 is out - run/debug your code in the context of your k8s cluster
This seems to be very similar to Telepresence, which I just couldn't get to work for us.
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Connecting a local container with a Kubernetes cluster
What the difference with okteto and telepresence ?
What are some alternatives?
lima - Linux virtual machines, with a focus on running containers
devspace - DevSpace - The Fastest Developer Tool for Kubernetes ⚡ Automate your deployment workflow with DevSpace and develop software directly inside Kubernetes.
for-mac - Bug reports for Docker Desktop for Mac
tilt - Define your dev environment as code. For microservice apps on Kubernetes.
runj - runj is an experimental, proof-of-concept OCI-compatible runtime for FreeBSD jails.
Gravitational Teleport - The easiest, and most secure way to access and protect all of your infrastructure.
bravetools - A tool to build, deploy, and release any environment using System Containers.
skaffold - Easy and Repeatable Kubernetes Development
buildkit - concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit
teleport - A WebXR teleport for three.js
colima - Container runtimes on macOS (and Linux) with minimal setup
garden - Automation for Kubernetes development and testing. Spin up production-like environments for development, testing, and CI on demand. Use the same configuration and workflows at every step of the process. Speed up your builds and test runs via shared result caching