demos VS helmfile

can be found here.

The ConfigMap referenced by EventBasedAddOn instance contains all resources that will be deployed in each cluster where a Pod in crashing state is found. In this case:

All YAMLs used in this example can be found here


https://github.com/projectsveltos/sveltosctl#display-outcome...

But I was still not happy. Main reason, users still had to go and manage cluster labels. I wanted clusters' labels to change as cluster runtime state was changing. So I can express my intent and then forget about it.

So I introduced a second concept in Sveltos. Classifier CRD (https://github.com/projectsveltos/demos/blob/main/classifier...) which allows users to classify clusters based on cluster runtime state (currently kubernetes version and/or resources deployed, but I am working on adding more).

Doing so I can easily now say:

1) I wanted a controller running in the management cluster, so I can express my intent and as clusters come and go or change their runtime state, controller can make sure my intent is applied. For instance, combing Classifier and ClusterProfile I can say things like, in any cluster running kubernetes version v1.24.x install calico v3.23 and in any cluster running kubernetes version v1.25.x install calico v3.24. as clusters are created/upgraded, sveltos makes sure my intent is deployed (https://github.com/projectsveltos/demos/blob/main/classifier/classifier.gif)

So a second concept was introduced in Sveltos: Classifier CRD (https://github.com/projectsveltos/demos/blob/main/classifier/classifier.gif) which allows users to classify clusters based on cluster runtime state (currently Kubernetes version and/or resources deployed, but I am working on adding more).

What we’re going to install into the newly created AKS cluster is located in the helm directory. The descriptive Helmfile approach enables us to define applications and their settings in the helmfile.yaml file.

Is there any alternative to https://github.com/roboll/helmfile you are currently using in your company.

Interesting, I have approached this problem using Helmfile (https://github.com/roboll/helmfile) to define a “platform release package.”

To make managing the Helm deployments a little easier I used helmfile (https://github.com/roboll/helmfile).

But in general it's always easier to keep things quite separated. Meaning in separate helm releases. If you want to be able to manage things "together" at will, then you can use helmfile ( https://github.com/roboll/helmfile )

I agree; helm is too declarative.

Whenever I can, I use helmfile[0] for storing variables for helm since it does add a declarative layer on top of helm.

0 - https://github.com/roboll/helmfile

I went through the Helmfile repo Readme to figure out the difference between helmfile sync and helmfile apply. It seems like unlike the apply command, the sync command doesn't do a diff and helm upgrades the hell out of all releases 😃. But from the word sync, you'd expect the command to apply those releases that have been changed. There is also mention of the potential application of helmfile apply to periodically syncing of releases. Why not use helmfile sync for this purpose? Overall, the difference didn't become crystal clear, and I though there could probably be more to it. So, I'm asking.

helmfile is something i’ve used in the past for this https://github.com/roboll/helmfile

I always felt like dependencies in helm are for very simple non-coupled packages. I many times use Helmfile (https://github.com/roboll/helmfile) to manage dependencies instead of banging my head with vanilla Helm.

Once you do that, learn to create dynamic helm charts that use go templating and conditionals: https://github.com/roboll/helmfile