virtink VS kubernetes

$ kubectl apply -f https://github.com/smartxworks/virtink/releases/download/v0.11.0/virtink.yaml  ✔   namespace/virtink-system created customresourcedefinition.apiextensions.k8s.io/virtualmachinemigrations.virt.virtink.smartx.com created customresourcedefinition.apiextensions.k8s.io/virtualmachines.virt.virtink.smartx.com created serviceaccount/virt-controller created serviceaccount/virt-daemon created clusterrole.rbac.authorization.k8s.io/virt-controller created clusterrole.rbac.authorization.k8s.io/virt-daemon created clusterrolebinding.rbac.authorization.k8s.io/virt-controller created clusterrolebinding.rbac.authorization.k8s.io/virt-daemon created service/virt-controller created deployment.apps/virt-controller created daemonset.apps/virt-daemon created certificate.cert-manager.io/virt-controller-cert created certificate.cert-manager.io/virt-daemon-cert created issuer.cert-manager.io/virt-controller-cert-issuer created issuer.cert-manager.io/virt-daemon-cert-issuer created mutatingwebhookconfiguration.admissionregistration.k8s.io/virtink-mutating-webhook-configuration created validatingwebhookconfiguration.admissionregistration.k8s.io/virtink-validating-webhook-configuration created $ kubectl get po,svc -A  ✔  NAMESPACE NAME READY STATUS RESTARTS AGE kube-system pod/local-path-provisioner-7b7dc8d6f5-8cwd8 1/1 Running 0 10m kube-system pod/coredns-b96499967-cc7fw 1/1 Running 0 10m kube-system pod/svclb-traefik-baea9d36-vjxzg 2/2 Running 0 10m kube-system pod/helm-install-traefik-crd-ghbn2 0/1 Completed 0 10m kube-system pod/svclb-traefik-baea9d36-2vw6x 2/2 Running 0 10m kube-system pod/helm-install-traefik-fc9xw 0/1 Completed 1 10m kube-system pod/svclb-traefik-baea9d36-g42x2 2/2 Running 0 10m kube-system pod/traefik-56cfcbb99f-5qgvd 1/1 Running 0 10m kube-system pod/metrics-server-84f8d4c4fc-wx8bl 1/1 Running 0 10m cert-manager pod/cert-manager-cainjector-5987875fc7-g94ft 1/1 Running 0 2m58s cert-manager pod/cert-manager-6dd9658548-slxrp 1/1 Running 0 2m58s cert-manager pod/cert-manager-webhook-7b4c5f579b-76x57 1/1 Running 0 2m58s virtink-system pod/virt-daemon-dv9m9 1/1 Running 0 41s virtink-system pod/virt-daemon-mv994 1/1 Running 0 41s virtink-system pod/virt-controller-768b979d4-gzlzt 1/1 Running 0 41s virtink-system pod/virt-daemon-jpz87 1/1 Running 0 41s NAMESPACE NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE default service/kubernetes ClusterIP 10.43.0.1 443/TCP 11m kube-system service/kube-dns ClusterIP 10.43.0.10 53/UDP,53/TCP,9153/TCP 11m kube-system service/metrics-server ClusterIP 10.43.21.66 443/TCP 10m kube-system service/traefik LoadBalancer 10.43.170.138 174.138.1.202,188.166.109.175,188.166.88.194 80:32630/TCP,443:30841/TCP 10m cert-manager service/cert-manager ClusterIP 10.43.182.103 9402/TCP 2m59s cert-manager service/cert-manager-webhook ClusterIP 10.43.136.111 443/TCP 2m58s virtink-system service/virt-controller ClusterIP 10.43.196.10 443/TCP 42s

Virtink is a Kubernetes add-on for running Cloud Hypervisor virtual machines. By using Cloud Hypervisor as the underlying hypervisor, Virtink enables a lightweight and secure way to run fully virtualized workloads in a canonical Kubernetes cluster.

I’m joking of course. I’m not really sure about what a faded keyboard says about its owner. What I do know for sure is how important kubectl is to anybody who wants to be a proficient Kubernetes administrator.

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.

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.

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.

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.

To learn more, you can start by exploring the official Kubernetes documentation.

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.

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.

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.