Joda-Beans VS kubernetes

That means I don't forget about fields (as can happen if you're just doing `person.setX()` all the time). It's easy to see what is what when reading it. I can delete fields I don't want to initialize at the time. Yes, maybe immutable objects are the One True Way, but C# lets me choose (I can label properties with an initializer `init` rather than a setter `set` and then they're immutable).

Kotlin offers stuff like this too because it's really useful toward creating code that's easy to create and maintain. Go also lets you initialize structs in a similar fashion.

Java has come back to us a decade or more late with records. They're not bad, but they're only offering one thing. They don't cover what C#, Kotlin, Go, and other languages have offered for so long.

The annoying thing about Java is that it doesn't feel pragmatic a lot of the time. It feels like the language hates stealing ideas from others. It's Java: people steal ideas from Java, not the other way around. People do crazy things just to get POJOs including Immutables (http://immutables.github.io), AutoValue (https://github.com/google/auto/), Lombok (https://projectlombok.org), Joda Beans (https://www.joda.org/joda-beans/), and maybe more. They generate lots of code at compile time or do funky runtime stuff.

It just feels like Java misses the pragmatic stuff and still kinda doesn't want to handle that. I feel a bit silly harping on things like POJOs and setting data on a new object, but that's a big part of day-to-day stuff and it definitely pushes users away from Java towards languages that seem "better" simply because they don't have Java's oddly strong attachment to not offering simple value objects. Yes, again, records do something - but it feels like Java ignored how people are using Kotlin, Go, C#, and more and didn't go for something that would have been as widely applicable and pragmatic as it could have been.

Java has a lot of great stuff like great GCs (yes), lots of cool research, great performance, and Project Loom is really exciting. I just wish the language would lean a little more practical.

I know I've been talking about properties a bunch, but let's look at Java. Java Beans are terrible - so terrible that the community has a number of workarounds. Immutables (https://immutables.github.io) lets you generate builders, Lombok (https://projectlombok.org) has their annotations that do runtime and IDE magic, there's Joda-Beans (https://www.joda.org/joda-beans/), there's the new Java Records if you want immutable-only and non-compatibility with lots of libraries, there are people using Kotlin for their data classes and Java for other things... Properties are this simple thing that lets C# work with the whole getter/setter pattern without being horribly annoying - there's just this weird { get; set; } thing that I can ignore because I don't care.

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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.