Editors: Amit Dsouza, Frederick Kautz, Kristin Martin, Abigail McCarthy, Natali Vlatko Announcing the release of Kubernetes v1.30: Uwubernetes, the cutest release! Similar to previous releases, the release of Kubernetes v1.30 introduces new stable, beta, and alpha features. The consistent delivery o...
Yes, I have seen a product being swapped from oracle, to oracle + PostgreSQL and then only PostgreSQL
Some interesting features altho some of them are still preview.
Thank you for your insight. And interesting project you got going on there.
I recently got recommended this project, to have a more natively connected CI/CD (I would probably be more interested in the CI part, as I already have argo-cd running) And it seems very interesting, and the development seems okayish active. The only thing that I am curious about (and why I made this post, besides maybe making more people aware that it exists), is how active the Tekton hub (https://hub.tekton.dev/) is.
So, maybe somebody here has some information on that. I am not using Tekton (yet), but I read somewhere in the documentation, that this hub is supposed to be the place to get re-usable components, but seeing the actual activity on there turned me off from the project a little bit, because a lot of things are in version 0.1 and have been last updated 1 or 2 years ago. Maybe that issue only exists, because I am not logged in, but that certainly looks weird.
So, do you have any experience with Tekton? How do you feel about it?
Setup an NVIDIA RTX GPU on bare-metal Kubernetes, covering driver installation on Ubuntu 22.04, configuration, and troubleshooting.
![A Practical Guide to Running NVIDIA GPUs on Kubernetes](https://lemmy.blahaj.zone/pictrs/image/949eca58-e532-425b-a956-f154717c012b.png?format=webp&thumbnail=256)
Sorry if this has been reported elsewhere already, or if this is explained in docs somewhere, but I don't understand the contents you have in https://pkgx.dev/pkgs/. Lets take a few popular project...
![I'm confused: what's with the project descriptions at https://pkgx.dev/pkgs/? · Issue #5358 · pkgxdev/pantry](https://programming.dev/pictrs/image/b47d086a-98cf-4459-a4c6-97fd3a94690e.png?format=webp&thumbnail=256)
Originally taken from https://fosstodon.org/@squidfunk/111989558536475772.
There are actually a lot of people learning latin
A good read, and interesting to see what services to consider.
Should have still used them. It was harder to read this way.
I have had major problems, because I am also forced to use WSL. The network situation is the largest problem. Colleagues have had random time differences in WSL causing even TLS to fail, because they were 15 minutes in the past.
I have had major issues, and I think its only because of WSL and wouldnt happen on native Linux.
If you're using Kubernetes, you've probably heard the term "sidecar" by now. What might surprise you, however, is that Kubernetes itself has no built-in notion of sidecars—at least, until now.
![Kubernetes 1.28: Revenge of the Sidecars?](https://programming.dev/pictrs/image/5dd8339c-77b4-4e84-a905-6c665e0acfc0.png?format=webp&thumbnail=256)
I do have some bugs with Insomnia, for example with the oauth configuration failing. (I think it has something to do with some variable there failing) You can workaround that by just removing oauth, and configuring again, but its annowing.
I still like insomnia overall tho.
Building a largest Kubernetes Community Cluster. Contribute to collabnix/kubezilla500 development by creating an account on GitHub.
![GitHub - collabnix/kubezilla500: Building a largest Kubernetes Community Cluster](https://programming.dev/pictrs/image/b6a190cc-d322-4bd9-a590-60c5e87ded4d.png?format=webp&thumbnail=256)
And interesting project to have a look.
Java is not really slow, if implemented well. This is just a reputation it has gotten.
I should get more into it, but one thing I am always not sure about: How do you test them? Have them on a separate branch (or even repo) and then trigger them? That seems a bit restrictive
We’ve scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models like GPT-3, CLIP, and DALL·E, but also for rapid small-scale iterative research such as Scaling Laws for Neural Language Models.
![Scaling Kubernetes to 7,500 nodes](https://programming.dev/pictrs/image/fb26ce19-402d-4bd9-a653-f79b143a34e0.png?format=webp&thumbnail=256)