helmfile VS prometheus-operator

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.

The project repository for Prometheus-operator can be found here, The repo defines the CRDs and the controller. You can follow this documentation for the installation. which will require the creation of metrics exporters, node exporters, scrape configurations, etc.

Personally I use kubernetes, k3s is kind of lightweight, with the Prometheus operator.

https://k3s.io/

https://prometheus-operator.dev/

Kubernetes is not for everyone and is far from perfect but you already use Docker and you seem to seek many features offered by Kubernetes.

I see that the operator is a community-run project. Does anybody have any experience (positive or negative) on running the operator itself? I wonder if it is more for multi-tenant Prometheus. For single tenant Prometheus collection, I guess the big gain is abstracting scrape config into ServiceMonitor and PodMonitor resources? Is there anything else that this makes much better?

But in all honesty if you’re on k8s you’re probably best served by the Prometheus operator. It’ll give you all that and more, easily.

Try some monitoring.

It’s a common pattern [1] how else can users override the child objects you’re controller creates?

1 https://github.com/prometheus-operator/prometheus-operator/b...

The Prometheus operator is this one https://github.com/prometheus-operator/prometheus-operator

At a minimum, you want to look at your metrics using the Prometheus Operator. You can write alerts for resource requests.

Prometheus Operator is an independent project from the Prometheus project. I know, it can lead to confusion. In the official README you can find short comparison. Basically, Prometheus Operator does what an operator should do - provides Kubernetes native deployment and management of Prometheus and related monitoring components like Grafana or Alert Manager.