cri-o
kubernetes
cri-o | kubernetes | |
---|---|---|
33 | 661 | |
5,028 | 106,923 | |
0.6% | 0.8% | |
9.8 | 10.0 | |
about 16 hours ago | 3 days ago | |
Go | 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.
cri-o
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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.
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Complexity by Simplicity - A Deep Dive Into Kubernetes Components
Multiple container runtimes are supported, like conatinerd, cri-o, or other CRI compliant runtimes.
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Kubernetes Cluster Setup Using Kubeadm on AWS
Install container runtime on all nodes. We will use cri-o.
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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
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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.
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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
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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.
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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
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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
kubernetes
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Streamlining Deployments: Unveiling the Power of GitOps with Kubernetes
In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy.
- Presentación del Operador LMS Moodle
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Introducing LMS Moodle Operator
Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike.
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Using NetBird for Kubernetes Access
Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging.
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My Favorite DevTools to Build AI/ML Applications!
Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.
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Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
To learn more, you can start by exploring the official Kubernetes documentation.
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Building Llama as a Service (LaaS)
With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.
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The power of the CLI with Golang and Cobra CLI
This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.
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Upgrading Hundreds of Kubernetes Clusters
We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.
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Kubernetes and back – Why I don't run distributed systems
"You are holding it wrong", huh?
From the homepage https://kubernetes.io/:
"Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications."
Do you see "not recommended for smaller-scale applications" anywhere? Including on the entire home page? Looking for "small", "big" and "large" also yields nothing.
What are some alternatives?
containerd - An open and reliable container runtime
Apache ZooKeeper - Apache ZooKeeper
crun - A fast and lightweight fully featured OCI runtime and C library for running containers
bosun - Time Series Alerting Framework
k3s - Lightweight Kubernetes
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
minikube - Run Kubernetes locally
kine - Run Kubernetes on MySQL, Postgres, sqlite, dqlite, not etcd.
cri-dockerd - dockerd as a compliant Container Runtime Interface for Kubernetes
BOSH - Cloud Foundry BOSH is an open source tool chain for release engineering, deployment and lifecycle management of large scale distributed services.
kaniko - Build Container Images In Kubernetes
Juju - Orchestration engine that enables the deployment, integration and lifecycle management of applications at any scale, on any infrastructure (Kubernetes or otherwise).