firebuild
kind
firebuild | kind | |
---|---|---|
5 | 183 | |
92 | 12,818 | |
- | 1.2% | |
0.0 | 8.9 | |
over 2 years ago | 10 days ago | |
Go | Go | |
GNU Affero General Public License v3.0 | 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.
firebuild
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We clone a running VM in 2 seconds
Regarding turning Dockerfiles into a MicroVM: https://gruchalski.com/posts/2021-03-23-introducing-firebuil..., on GitHub: https://github.com/combust-labs/firebuild. This could get you started.
Disclaimer: I’m the author.
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Podman 4.0.0
> See, and in almost all of my use-cases, I really do. I do HPC computing, which is almost always a multi-tenant environment.
Maybe you need firecracker with something along the lines of https://github.com/combust-labs/firebuild?
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Hypervisor for multi-tenant computing, like it should be
I was the one who posted that question and I deleted it because I understood I was asking to compare apple to oranges. Firecracker uses KVM under the hood. With regards to the overhead, sure, there's going to be resources needed but firecracker is pretty good at running VMs will low level overhead. We're talking thousands on a single host.
I've done some fair share of evaluating firecracker for https://github.com/combust-labs/firebuild and the need to provision is red herring. firebuild can run a VM directly from a Dockerfile and Docker image. Fly.io team does something similar. It's basically a fully functional app out of the container within a matter of milliseconds.
What would be nice is to see a direct comparison between your solution and firecracker.
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Docker Without Docker
I am working on something like this: https://github.com/combust-labs/firebuild.
From a Dockerfile, it's not as simple without creating an image first.
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?
cloud-hypervisor - A Virtual Machine Monitor for modern Cloud workloads. Features include CPU, memory and device hotplug, support for running Windows and Linux guests, device offload with vhost-user and a minimal compact footprint. Written in Rust with a strong focus on security.
minikube - Run Kubernetes locally
linuxkit - A toolkit for building secure, portable and lean operating systems for containers
k3d - Little helper to run CNCF's k3s in Docker
firecracker-containerd - firecracker-containerd enables containerd to manage containers as Firecracker microVMs
lima - Linux virtual machines, with a focus on running containers
mariadb-podman-socket-activation - Demo of a templated systemd user service that runs rootless Podman and starts MariaDB with socket activation
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.
kubevirt - Kubernetes Virtualization API and runtime in order to define and manage virtual machines.
colima - Container runtimes on macOS (and Linux) with minimal setup
libnetwork - networking for containers
nerdctl - contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...