pydgraph-client VS helmfile

This section covers deploying Kubernetes resources such as Deployment, StatefulSet, ServiceAccount, Service, and so on. This will cover installing the Consul Connect service mesh, Dgraph, and pydgraph-client to access Dgraph through the service mesh.

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.