cri-o
rules_docker
Our great sponsors
cri-o | rules_docker | |
---|---|---|
33 | 8 | |
5,020 | 1,058 | |
1.3% | - | |
9.8 | 0.0 | |
1 day ago | 7 months ago | |
Go | Starlark | |
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.
cri-o
-
The Road To Kubernetes: How Older Technologies Add Up
Kubernetes on the backend used to utilize docker for much of its container runtime solutions. One of the modular features of Kubernetes is the ability to utilize a Container Runtime Interface or CRI. The problem was that Docker didn't really meet the spec properly and they had to maintain a shim to translate properly. Instead users could utilize the popular containerd or cri-o runtimes. These follow the Open Container Initiative or OCI's guidelines on container formats.
-
Complexity by Simplicity - A Deep Dive Into Kubernetes Components
Multiple container runtimes are supported, like conatinerd, cri-o, or other CRI compliant runtimes.
-
Kubernetes Cluster Setup Using Kubeadm on AWS
Install container runtime on all nodes. We will use cri-o.
-
Creating Kubernetes Cluster With CRI-O
Container Runtime Interface (CRI) is one of the important parts of the Kubernetes cluster. It is a plugin interface allowing kubelet to use different container runtimes. And recently CRI-O container runtime has been announced as a CNCF Graduated project. I thought of writing a blog on CRI-O and how to set up a single-node Kubernetes cluster with Kubeadm and CRI-O.
- 32“ E Ink screen that displays daily newspapers on your wall
-
Understanding Docker Architecture: A Beginner's Guide to How Docker Works
CRI-O: This is an open-source container runtime designed for use with Kubernetes. It is a lightweight and stable environment for containers. It also complies with the Kubernetes Container Runtime Interface (CRI), making it easy to integrate with Kubernetes.
-
How are they doing it?
With CRI-O I believe you can configure registry mirror locations…. Similar to this: https://github.com/cri-o/cri-o/issues/4941
-
Docker is deleting Open Source organisations - what you need to know
Alternatives like Podman and CRI-O continue to gain traction and may replace Docker in various places. For example, Kubernetes used to use Docker, then moved to containerd, and now also support CRI-O. Generally speaking, the core features of "Docker" are such a commodity now that no one was the wiser when Kubernetes stopped using it.
-
kubeadm init error: CRI v1 runtime API is not implemented
will the site be available for the CKA exam? https://github.com/cri-o/cri-o/blob/main/install.md
-
Container Deep Dive 2: Container Engines
The CRI-O container engine provides a stable, more secure, and performant platform for running Open Container Initiative (OCI) compatible runtimes. CRI-Os purpose is to be the container engine that implements the Kubernetes Container Runtime Interface (CRI) for OpenShift Container Platform and Kubernetes, replacing the Docker service. Source
rules_docker
- Ko: Easy Go Containers
-
Crafting container images without Dockerfiles
My company uses Bazel's rules docker to build our images: https://github.com/bazelbuild/rules_docker
They're pretty great and have a lot of the caching and parallelism benefits mentioned in the post for free out of the box, along with determinism (which Docker files don't have because you can run arbitrary shell commands). Our backend stack is also built with Bazel so we get a nice tight integration to build our images that is pretty straightforward.
We've also built some nice tooling around this to automatically put our maven dependencies into different layers using Bazel query and buildozer. Since maven deps don't change often we get a lot of nice caching advantages.
-
Does google use rules_docker internally?
I've seen rules_docker is looking for maintainers here ; Does this mean it doesn't use it that much internally? If so, how do they go about using other services e.g docker-compose for running external services e.g database?
-
Speed boost achievement unlocked on Docker Desktop 4.6 for Mac
Did you mean this one? https://github.com/bazelbuild/rules_docker
I was very interested in this Bazel-based way of building containers but its README page says "it is on minimal life support," which does not inspire confidence. How's your experience using it?
-
Build images within another Docker container
As others have said docker in docker or a separate build server are your best options using docker. You can also use Bazel (which doesn't require the docker daemon) to build docker images which will build deterministic images every time due to not incorporating the timestamp: https://github.com/bazelbuild/rules_docker
-
Evolution of code deployment tools at Mixpanel
There's some BazelCon talks about people doing similar stuff but not actually open sourcing their code.
P.S. if you use rules_docker please feel free to open a PR to add your company to our README: https://github.com/bazelbuild/rules_docker/#adopters
-
Is Docker Dead in the Water?
The docker utility isn't the only way to build and run containers. There's also cri-o, podman, and crun among others for running containers. For building there is podman again, Jib for Java applications, and bazel plus many others. The docker approach of using a client to connect to a daemon required to run as root has turned out to be slow and insecure.
-
Buildpacks vs. Dockerfiles
During the last 3 years I've had the pleasure of using Bazel's rules_docker to generate all my container images (https://github.com/bazelbuild/rules_docker).
In a nutshell, rules_docker is a set of build rules for the Bazel build system (https://bazel.build). What's pretty nice about these rules is that they don't rely on a Docker daemon. They are rules that directly construct image tarballs that you can either load into your local Docker daemon or push to a registry.
What's nice about this approach is that image generation works on any operating system. For example, even on a Mac or Windows system that doesn't have Docker installed, you're able to build Linux containers. They are also fully reproducible, meaning that you often don't need to upload layers when pushing (either because they haven't changed, or because some colleague/CI job already pushed those layers).
I guess rules_docker works fine for a variety of programming languages. I've mainly used it with Go, though.
What are some alternatives?
containerd - An open and reliable container runtime
buildah - A tool that facilitates building OCI images.
crun - A fast and lightweight fully featured OCI runtime and C library for running containers
kaniko - Build Container Images In Kubernetes
k3s - Lightweight Kubernetes
rules_gitops - This repository contains rules for continuous, GitOps driven Kubernetes deployments.
minikube - Run Kubernetes locally
cri-dockerd - dockerd as a compliant Container Runtime Interface for Kubernetes
jib - 🏗 Build container images for your Java applications.
mixpanel-python - Official Mixpanel Python library.