gomuks VS kubernetes

The problem with this is that this is just fundamentally untrue. There are plenty of non-Electron apps that are viable. For core functionality of e2ee, messages, exploring directories, sending images, etc, those are available in multiple alternative apps. If you're talking about other integrations like video calling, plugins, and spaces, then you'd be right as I don't know other clients that have those. But, none of those things are really required in the matrix protocol anyways, and those available features in other clients already far surpasses what IRC can do. You don't need these bleeding edge features to have an enjoyable experience on Element, and given the IRC crowd, I would assume they're adverse to bleeding edge anyways. If you want an experience similar to irssi, then you can use gomuks for a superior experience in a familiar(ish) client. So saying Element is the only suitable client implementation is outright false.

There's also a nice terminal client called gomuks.

gomuks is probably the most feature complete one.

gomuks is a command line-based Matrix chat client

I am running my own home server, everyone in my family has an account they use there (the domain is our surname). Non-techy people use it and like it (past the initial setup, since setting up a custom domain requires a few more clicks than :matrix.org account). I am not waiting for the day, though, when they will need to set up a new device without access to the old one.

> I personally haven't met any "real" people who are even aware of Matrix. When I broached it with a non-IT friend, they were actively uninterested in unifying messaging applications as they had "facebook friends" and "whatsapp friends" and interacted with them differently.

I tried to sell it too with the "unify your messaging apps", but this is a wrong selling point to new users. First they need to start using matrix as their messaging app, realize that it works well, including VoIP and video calls. Once trust is there, only then start thinking about using bridges. Because there will be rough edges (e.g. federated voice/video calls do not work).

Because of the way bridges integrate to third-parties, they are not bug-free. Reliability is just not great yet. Maybe except a hosted service, Beeper[1], which is run by people who know most about these bridges and can provide support.

To sum up, I am using Matrix for my family network, and some bridges personally; I am not yet planning to spread the use of bridges beyond myself. Besides the encryption setup, I like the UI a lot. I also use gomuks[2] from time to time, which is a terminal matrix application. I have not stumped into server-side problems.

I am donating monthly to Tulir[3], the most prolific Matrix bridge developer (and, to my knowledge, co-founder of beeper). Because I started using Matrix because of the bridges.

Oh, and I love the Matrix sms bridge[4]. I set it up to see if it works, and I am not going back. It's great.

[1]: https://www.beeper.com/

[2]: https://github.com/tulir/gomuks

[3]: https://github.com/tulir

[4]: https://github.com/tijder/SmsMatrix

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.

The single most important development in hosting since the invention of EC2 is defined by its own 3-letter acronym: k8s. Kubernetes has won the “container orchestrator” space, becoming the default way that teams across industries are managing their compute nodes and scheduling their workloads, from data pipelines to web services.