vite-imagetools VS kubernetes

The first thing is to install vite-imagetools from https://github.com/JonasKruckenberg/imagetools

Automatic image optimization via vite-imagetools.

The closest solution I’ve found is hacking something together yourself with vite-imagetools

The projects this solutions works with are customised Sveltekit projects I made. It has everything: markdown parser using Mdsvex, image converting tool using vite-imagetools, it has toml parser, and of course live preview and lots of other smaller things like markdown directives.

#2 - I'm not sure about the performance and/or resource usage implication around importing over 100 images like this. Would all of these images get bundled and included in the production build? The upside here is that something like vite-imagetools could be used if/when needed.

Hello HN,

I had some christmas free time over the last two weeks (Merry Christmas btw ;-)) and used that time to completely recreate the website of my app[1]. I used all the fancy new tools. I didn't know some of them when I started.

What was my goal?

* Pretty website

* Blazing fast

* Mobile first

* SSR

* Webp support

* Generally all the best website practices (high lighthouse score)

What did I use?

* Tailwindcss (https://tailwindcss.com/)

* Tailwind Components (https://tailwindui.com/)

* React (https://reactjs.org/)

* ViteJs (https://vitejs.dev/)

* Kubernetes (https://kubernetes.io/)

Well what can I say. I hate creating websites, but this was an awesome experience. Never have I created a website more efficiently. Tailwindcss + Components is just the best. ViteJS is so so so much easier to setup compared to webpack and has SSR support on top of it. React has been around somewhat longer and I did a lot of projects with it, so that was a nobrainer. Special thanks to all the people who created these awesome tools.

PS: If you work with lots of images, do yourself a favor and use something like https://github.com/JonasKruckenberg/imagetools. It saved me hours of dreadful work.

[1] https://stockevents.app

Spent the better part of today attempting to find a working alternative to svelte-images, which I had been using in Sapper, but found was not working in SvelteKit. Was referred to [vite-imagetools](https://github.com/JonasKruckenberg/vite-imagetools) on discord, which is a vite plugin that dynamically import and transform images (srcset). Here are the steps required to integrate vite-imagetools with SvelteKit:

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.