Helm-Chart-Boilerplates VS helmfile

I would point you to what I call the "Universal Helm Charts" and some examples of how to use them.

Shameless Plug: Here's one of my dashboards I made for Ingress-Nginx, which is my recommended border router/gateway into all the services. It adds deep robust metrics and configurability, and if you've got years of experience with Nginx also, it allows you rich complex customization via nginx's configuration structure via kubernetes annotations. Besides that I have open-source helm charts which are easy to use, boilerplates showing how to use them, a volume autoscaler to automatically resize your disks as they get full, and a blog where I share various of my experience which is a companion blog to my upcoming book of the same name. Hope this helps! Feel free to ask if you have any further questions.

Here is an example of a repo that uses an sub-chart: https://github.com/DevOps-Nirvana/Helm-Chart-Boilerplates/tree/master/boilerplate-apache-with-configmap-template/deployment

Use multi-values files with helm ALWAYS. Allowing an env-specific overlay to tweak your default values files. See: https://github.com/DevOps-Nirvana/Helm-Chart-Boilerplates/tree/master/boilerplate-echoserver/deployment/boilerplate-echoserver

Helm charts - https://github.com/DevOps-Nirvana/Universal-Kubernetes-Helm-Charts Example using helm charts as sub charts - https://github.com/DevOps-Nirvana/Helm-Chart-Boilerplates/tree/master/boilerplate-echoserver

Helm Chart Boilerplates are examples of usage of the above Universal Helm Charts to help people understand how to use them more, a stop-gap until I add more documentation

Helm Chart Usage Boilerplates (Examples of using these helm chart)

To help you on deploying your service, I've created open source generic/universal Helm Charts to make it easy to do the above. Here are the Universal Helm Charts and here's some boilerplate examples of using them. These built-in have support for HPAs, services, ingresses, etc, making it as easy as autoscaling.enable: true I haven't gotten around to documenting the helm charts yet, but there's lots of comments in the values.yaml file explaining everything.

sudo wget https://github.com/helmfile/helmfile/releases/download/v0.159.0/helmfile_0.159.0_linux_amd64.tar.gz sudo tar -xxf helmfile_0.159.0_linux_amd64.tar.gz sudo rm helmfile_0.159.0_linux_amd64.tar.gz sudo mv helmfile /usr/local/bin/

Installation: https://github.com/helmfile/helmfile/releases

What are the benefits over using helmfile? https://helmfile.readthedocs.io/

Helm charts and Helmfile

And now I can just run dudo -l "https://github.com/helmfile/helmfile/releases/download/v{{ version }}/helmfile_{{ version }}_{{ os }}_{{ arch }}.tar.gz" -i /tmp/helmfile.tar.gz -p $HELMFILE_VERSION

I might be misunderstanding your question but we use https://github.com/helmfile/helmfile along with Argo, so essentially between eks and those I could rebuild our entire cluster in minutes.

I am asking which do you choose, Flux or Helmfile. edit: and what criteria do you use to select.

do you publish your own helm chart for your internal services and use it in every environment? if so, you could try to use helmfile within the service's repo itself and store values in a helm/$env directory. then enhance your ci to deploy to dev after the merge/image build phase directly. to try and cut out what sounds like a "deployment/config repo" step you have in the middle that's making everything a pain.

I've used helmfile before to declaratively manage multiple helm charts. It's a higher-level tool, and still uses helm under the hood.