sagan VS helm

Empeza con esto https://spring.io/

If you want to do web apps, I'd recommend Django (a python framework) https://docs.djangoproject.com/en/4.1/, but you can do Rails, or Phoenix, or Spring Boot, or whatever. It doesn't terribly matter *which* one you do, as they share characteristics, and, chances are, your company will be using a different one :). Just pick one and go. You can do it. You know a lot more than you think.

With the idea planted, and already internalized that I would use spring-boot to create our API, I needed to decide on which engine it would be built. I had been studying Unreal Engine for some time, but because I had more know-how in Unity and because I found this AMAZING weather system, I opted for our last alternative.

This is an introduction article on how to build a RESTful application in Kotlin using Spring Boot 3 and MongoDB Atlas.

As said in the title, we will focus on the dependency inversion principle and one of its application : dependency injection. For production-ready applications, it would be better to rely on a framework and not implement its own container. For it, the java ecosystem have 3 frameworks available : Spring, Guice and Dagger.

Im stuck between just starting up a project, or if following some starter project for learning. I did a tutorial on the spring.io website, but thats about all I have done so far.

I've been following the guides at spring.io, but there's just so many guides there. My company has a template for starting new projects (includes frontend + backend + database) so I decided to start my project using it, thinking the basic guides I followed on REST APIs would help me but I quickly realized it's more complicated than I thought.

Thanks for the advice. I followed some guides on spring.io, but because I am using a template for starting new projects provided by my company, I found most of them couldn't really translate properly to the template.

Spring makes building web applications fast and hassle-free (spring.io). By removing much of the boilerplate code and configuration associated with web development, you get a modern web programming model that streamlines the development of server-side HTML applications, REST APIs, and bidirectional, event-based systems.

helm

Explanation here: https://github.com/helm/helm/issues/12681#issuecomment-19593...

Looks like it's a bug in Helm, but actually isn't Helm's fault, the issue was introduced by Fedora Linux.

Helm (Get from here https://helm.sh/)

It’s also well understood that having a k8s cluster is not enough to make developers able to host their services - you need a devops team to work with them, using tools like delivery pipelines, Helm, kustomize, infra as code, service mesh, ingress, secrets management, key management - the list goes on! Developer Portals like Backstage, Port and Cortex have started to emerge to help manage some of this complexity.

Kubernetes orchestrates deployments and manages resources through yaml configuration files. While Kubernetes supports a wide array of resources and configurations, our aim in this tutorial is to maintain simplicity. For the sake of clarity and ease of understanding, we will use yaml configurations with hardcoded values. This method simplifies the learning process but isn’t ideal for production environments due to the need for manual updates with each new deployment. Although there are methods to streamline and automate this process, such as using Helm charts or bash scripts, we’ll not delve into those techniques to keep the tutorial manageable and avoid fatigue — you might be quite tired by that point!

Helm is a package manager that automates Kubernetes applications' creation, packaging, configuration, and deployment by combining your configuration files into a single reusable package. This eliminates the requirement to create the mentioned Kubernetes resources by ourselves since they have been implemented within the Helm chart. All we need to do is configure it as needed to match our requirements. From the public Helm chart repository, we can get the charts for common software packages like Consul, Jenkins SonarQube, etc. We can also create our own Helm charts for our custom applications so that we don’t need to repeat ourselves and simplify deployments.

We can search for charts https://helm.sh/ . Charts can be pulled(downloaded) and optionally unpacked(untar).

Generally I felt as if I was diving in the deepest of waters without the correct equipement and that was horrifying. Unfortunately to me, I had to dive even deeper before getting equiped with tools like ArgoCD, and k8slens. I had to start working with... HELM.

Within the architecture of Cyclops, a central component is the Helm engine. Helm is very popular within the Kubernetes community; chances are you have already run into it. The popularity of Helm plays to Cyclops's strength because of its straightforward integration.

helm: brew install helm