home-ops VS helm

These are great operational wins. Agreed very much that having autonomic (can fix itself) systems at your back is a massive game changer. De-crustifies the act of running things.

The other win is that there's a substantial cultural base to this way to go. Folks have been doing selfhosting for ages, but everyone has their own boutique setup some their way. A couple tools and techniques could be shared, but mostly everyone took blank slate configs & built their own system up, & added their own monitoring & operational scripts.

https://github.com/onedr0p/home-ops is a set of helm scripts and other tools that is widely widely used, and there's a lot more like it. It's a huge build out, using convention and a common platform to enable portable knowledge & sharing.

Self hosting did not have intellectual scale out at it's back, before Kubernetes came along. Docker and ansible and others have been around, but theres never been remotely the success there has been today in empowering users to setup & run complex services.

We really have clawed out of the server-hugging jungle &started building some villages. It's wonderful to see.

Going thru this repo https://github.com/onedr0p/home-ops

Take a look at my open source GitOps repo managed by Flux here: https://github.com/onedr0p/home-ops

Im fully onboard with the geneneral idea as a target.

Right now it's for early early adopters. Hosting stuff is still a painm But we are getting better at hosting stuff, finding stable patterns, paving the path. Hint, it's not doing less, it's not simpler options: it's adopting & making our own industrial scale tooling. https://github.com/onedr0p/home-ops is a great early & still strong demonstration; the up front cost od learning is high, but there's the biggest ecosystem of support you can imagine, and once you recognize the patterns, you can get into flow states, make stuff happen, with extreme leverage far beyond where humanity has ever been. Building the empowered individual is happening, and we're using stable good patterns that will mean the individual isnt so off on their own doing ops- they'll have a lot more accrued human experiene at their back, their running of services isnt as simple to understand from the start but goes much much further, is much more mature & well supported in the long run.

My Kubernetes cluster, deployments, infrastructure provisioning is all available over here on Github.

For example: https://github.com/onedr0p/home-ops/pull/4528

I'm running minio in my cluster with NFS backend just fine. You can see my deployment of it here.

Applying Kubernetes manifests individually is problematic because files can get overlooked. Packaging your applications as Helm charts lets you version your manifests and easily repeat deployments into different environments. Helm tracks the state of each deployment as a "release" in your cluster.

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.