kubernetes VS minikube

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.

"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.

Open Source and Cloud Computing: A Match Made in Heaven The cloud is accelerating OSS adoption. Cloud-native technologies like Kubernetes [https://kubernetes.io/] and Istio [https://istio.io/], both open-source projects, are revolutionizing how applications are built and deployed across cloud platforms.

If you do kubectl explain deployment than (surprise!) you'll get a description for extensions/v1beta1. Because kubectl explain works the same way, just like kubectl get:

Through the Fast Forward program, we give free services and support to open source projects and the nonprofits that support them. We support many of the world’s top programming languages (like Python, Rust, Ruby, and the wonderful Scratch), foundational technologies (cURL, the Linux kernel, Kubernetes, OpenStreetMap), and projects that make the internet better and more fun for everyone (Inkscape, Mastodon, Electronic Frontier Foundation, Terms of Service; Didn’t Read).

In this project, you will understand and get hands on experience around the entire concept around CI/CD from applications perspective. To fully gain real expertise around this idea, it is best to see it in action across different programming languages and from the platform perspective too. From the application perspective, we will be focusing on PHP here; there are more projects ahead that are based on Java, Node.js, .Net and Python. By the time you start working on Terraform, Docker and Kubernetes projects, you will get to see the platform perspective of CI/CD in action.

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.

Install Minicube - a tool that allows us to spin up a Kubernetes cluster in a local machine Run minikube start to start your Kubernetes cluster Run minikube dashboard to spin up a web-based user interface that allows you to manage your Kubernetes cluster

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.

$ minikube addons enable dashboard 💡 dashboard is an addon maintained by Kubernetes. For any concerns contact minikube on GitHub. You can view the list of minikube maintainers at: https://github.com/kubernetes/minikube/blob/master/OWNERS ▪ Using image docker.io/kubernetesui/dashboard:v2.7.0 ▪ Using image docker.io/kubernetesui/metrics-scraper:v1.0.8 🌟 The 'dashboard' addon is enabled $ minikube addons enable metrics-server 💡 metrics-server is an addon maintained by Kubernetes. For any concerns contact minikube on GitHub. You can view the list of minikube maintainers at: https://github.com/kubernetes/minikube/blob/master/OWNERS ▪ Using image registry.k8s.io/metrics-server/metrics-server:v0.6.4 🌟 The 'metrics-server' addon is enabled $ minikube addons enable ingress 💡 ingress is an addon maintained by Kubernetes. For any concerns contact minikube on GitHub. You can view the list of minikube maintainers at: https://github.com/kubernetes/minikube/blob/master/OWNERS 💡 After the addon is enabled, please run "minikube tunnel" and your ingress resources would be available at "127.0.0.1" ▪ Using image registry.k8s.io/ingress-nginx/kube-webhook-certgen:v20230407 ▪ Using image registry.k8s.io/ingress-nginx/controller:v1.8.1 ▪ Using image registry.k8s.io/ingress-nginx/kube-webhook-certgen:v20230407 🔎 Verifying ingress addon... 🌟 The 'ingress' addon is enabled

A Kubernetes distribution: You need to install a Kubernetes distribution to create the Kubernetes cluster and other necessary resources, such as deployments and services. This tutorial uses kind (v0.18.0), but you can use any other Kubernetes distribution, including minikube or K3s.

3.Minikube ( https://minikube.sigs.k8s.io ):

CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES7523fd2c20c7 gcr.io/google\_containers/k8s-dns-sidecar-amd64 "/sidecar --v=2 --..." 18 hours ago Up 18 hours k8s\_sidecar\_kube-dns-86f6f55dd5-qwc6z\_kube-system\_c1333ffc-e4d6-11e7-bccf-0021ccbf0996\_09bd438011406 gcr.io/google\_containers/k8s-dns-dnsmasq-nanny-amd64 "/dnsmasq-nanny -v..." 18 hours ago Up 18 hours k8s\_dnsmasq\_kube-dns-86f6f55dd5-qwc6z\_kube-system\_c1333ffc-e4d6-11e7-bccf-0021ccbf0996\_05c35e00a5a27 gcr.io/google\_containers/k8s-dns-kube-dns-amd64 "/kube-dns --domai..." 18 hours ago Up 18 hours k8s\_kubedns\_kube-dns-86f6f55dd5-qwc6z\_kube-system\_c1333ffc-e4d6-11e7-bccf-0021ccbf0996\_077ef463642b7 gcr.io/google\_containers/pause-amd64:3.0 "/pause" 18 hours ago Up 18 hours k8s\_POD\_kube-dns-86f6f55dd5-qwc6z\_kube-system\_c1333ffc-e4d6-11e7-bccf-0021ccbf0996\_039f618666205 gcr.io/google\_containers/kubernetes-dashboard-amd64 "/dashboard --inse..." 18 hours ago Up 18 hours k8s\_kubernetes-dashboard\_kubernetes-dashboard-vgpjl\_kube-system\_c1176a44-e4d6-11e7-bccf-0021ccbf0996\_0023b7b554a8c gcr.io/google\_containers/pause-amd64:3.0 "/pause" 18 hours ago Up 18 hours k8s\_POD\_kubernetes-dashboard-vgpjl\_kube-system\_c1176a44-e4d6-11e7-bccf-0021ccbf0996\_01c3bdb7bdeb1 gcr.io/google-containers/kube-addon-manager "/opt/kube-addons.sh" 18 hours ago Up 18 hours k8s\_kube-addon-manager\_kube-addon-manager-tpad\_kube-system\_7b19c3ba446df5355649563d32723e4f\_08a00feefa754 gcr.io/google\_containers/pause-amd64:3.0 "/pause" 18 hours ago Up 18 hours k8s\_POD\_kube-addon-manager-tpad\_kube-system\_7b19c3ba446df5355649563d32723e4f\_0b657eab5f6f5 gcr.io/k8s-minikube/storage-provisioner "/storage-provisioner" 18 hours ago Up 18 hours k8s\_storage-provisioner\_storage-provisioner\_kube-system\_c0a8b187-e4d6-11e7-bccf-0021ccbf0996\_067be5cc1dd0d gcr.io/google\_containers/pause-amd64:3.0 "/pause" 18 hours ago Up 18 hours k8s\_POD\_storage-provisioner\_kube-system\_c0a8b187-e4d6-11e7-bccf-0021ccbf0996\_0 I just did the Kubernetes minikube tutorial at https://github.com/kubernetes/minikube, and I cannot stop or remove these containers, they always get recreated.

https://github.com/kubernetes/minikube for local learning that's lightweight.

Haven’t dabbled with minikube yet, but there’s a whole thread about this error here: https://github.com/kubernetes/minikube/issues/9798