Apache NetBeans VS kubernetes

This page doesn't give any details about what's changed in this release.

More informative page: https://github.com/apache/netbeans/releases/tag/20

The IDE we use on this course is called NetBeans, and we use it with the Test My Code plugin.

I believe Netbeans is the preferred IDE for the mooc. There is a plugin for IntelliJ, but I've heard mixed reviews.

> For the most part, Eclipse has fallen into obscurity.

I guess it depends on the locale/company/environment?

In most conferences, online videos, as well as among the people I know personally, JetBrains IDEs (IntelliJ IDEA for Java) seem to reign supreme: https://www.jetbrains.com/idea/

They have a community version, personally I pay for the Ultimate package of all the tools. They're slightly sluggish, want a lot of RAM, but the actual development experience and features make up for that.

I know that Eclipse is sometimes used more in an educational setting, however there are also both some specialized tools, as well as customized versions for something like working with Spring in the industry: https://spring.io/tools

In my experience, the idea behind the IDE is nice (a platform that you can install whatever you want on, entire language support packages, or specialized tool packages), but the execution falls short - sometimes it's unstable, other times it works slow and so on. That said, it's passable.

I would say that personally I'd almost prefer NetBeans to Eclipse, even after it was given over to the Apache Foundation, which have released a few versions since: https://netbeans.apache.org/

It seems to do less than either Eclipse or IntelliJ IDEA do, but for general purpose Java editing and limited work with other stacks (PHP, webdev stuff, some C/C++) it is good and pleasant to use. However, if you have projects that get close to half a million lines of code, it does just kind of break and gets way slower than the alternatives. It still somehow feels more coherent than Eclipse to me, would pick it if IntelliJ IDEA didn't exist.

Some also try doing something like using Visual Studio Code with a Java plugin: https://code.visualstudio.com/docs/languages/java

That said, I only used that briefly when I needed something lightweight for a netbook of mine, the experience was somewhat underwhelming. The autocomplete or refactoring wasn't as good as IntelliJ IDEA and just felt a little bit tacked on. Then again, that was a while ago, I don't doubt that progress is being made.

(free) Apache NetBeans is there from ages, and one person on my team still uses it for PHP/web stuff (including the use of xdebug with it) because you know, it works. Some of us care about *what* gets into the repository, not *how* it gets done, as long you're productive.

Existem outras IDEs igualmente famosas: Eclipse IDE e NetBeans.

1. NetBeans

Nobody mentioned (wonder why), but 10 years ago I used work in NetBeans. I thought it was fantastic and I can see it is still being developed.

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.