metacontroller VS kubernetes

It worth adopt proper controller development with something like Metacontroller, Kopf or Java Operator SDK.

There are many frameworks, like the Operator Framework (https://operatorframework.io/) to the MetaController (https://github.com/metacontroller/metacontroller) to KubeBuilder(https://github.com/kubernetes-sigs/kubebuilder) to the Kubernetes Operator Framework (kopf, https://kopf.readthedocs.io/en/stable/), among others.

You might like a little alternative to writing your own in the first instance:) take a look at https://metacontroller.github.io/metacontroller/

Codegen is not magic, but if you want to make it simple stupid, supportable and prod-usable I'd go for metacontroller. There's not much magic to it - just common admission/validation webhooks propagated to your controller implementation, alongside the simplest possible reconciliation cycle. We had adopted Knative driven metacontrollers and it's a pretty solid approach.

https://github.com/metacontroller/metacontroller - Sounds cool! I will look into it.

When I need a quick mutating controller, I like to use MetaController, which makes rapid prototyping really easy: https://metacontroller.github.io/metacontroller/

If you are more into lightweight and common use cases, look at metacontroller or the shell-operator.

I am looking for some inspiration at websites for software projects that do a very good of job explaining their product right from the get go. Things like programming language or database home pages/docs or open source projects with good git READMEs.

Though I've never used it, I think https://ziglang.org/ is a great example as it explains what makes the language unique, gives a code example right at the beginning, and makes it clear where to find more samples so I can quickly judge the features of the project without having to go through the entire docs.

Maybe this is debatable, but I feel like https://kubernetes.io/ is a counter example. It's one of my favorite tools, but the home page doesn't tell me much. I think I would have liked to see code snippets about Deployments or some sort of architecture diagram that explains what it does in terms of different well established protocols like cri-o or cgroups or something.

You might disagree with my examples above, but I'm still curious to see what other people consider "good".

In this article, you'll learn how and when to use Terraform with Kubernetes with an example of a local nginx deployment.

The first commit of Kubernetes was pushed to GitHub on June 6th, 2014, which was more than ten years ago.

Container Tools: Kompose, Kubectl, Skaffold

Containers package applications and their dependencies, ensuring consistency across environments. Using Docker makes it easy to "build once, run anywhere." Kubernetes manages multiple containers to keep complex apps running smoothly.

By 2025, these languages are expected to see wider adoption as cloud technologies continue to evolve. Additionally, tools like Kubernetes, an open-source container management platform, will become even more vital, helping developers efficiently deploy and manage cloud platforms. These technologies contribute significantly to supporting large-scale data processing and simplifying the management and operation of cloud infrastructure.

Kubernetes

Containerization: Technologies like Docker, ModelKits, and Kubernetes to standardize and automate deployments in a controlled, scalable way.

One of those great revolutionary technologies that have transformed how developers think of and Interact with cloud infrastructure is Kubernetes. Initially Developed at Google, Kubernetes, also known as K8s, is an open source system for automating deployment, scaling, and management of containerized applications. It is Designed on the same principles that allow Google to run billions of containers a week, Kubernetes can scale without increasing your operations team.

In the ever-evolving landscape of modern software development, Kubernetes and Terraform stand out as two essential tools for managing infrastructure and applications. While both are critical for modern DevOps and cloud-native ecosystems, they serve different purposes and operate in distinct domains. Understanding the differences between Kubernetes and Terraform is key to leveraging them effectively. Let’s dive deeper into what these tools are and how they compare.