ytt VS prometheus-operator

YTT - YTT is a templating tool that understands YAML structure. It helps you easily configure complex software via reusable templates and user provided values using the Starlark language.

Adding https://carvel.dev/ytt/ to the list. I was happy using this tool as IMO it mixes good things from Helm and Kustomize, however the syntax is ugly and repelling my colleagues to have a closer look.

> Templating yaml is a terrible, terrible idea

I've had a good time using ytt: https://carvel.dev/ytt/. It implements language-aware templating, which is IMO the only reasonable way to do it.

`ytt` is part of the Carvel toolchain. https://carvel.dev/ytt/

I agree with you on `you will want to see just plain texts instead of a bunch of templating token with hidden logic.` Which is why I think https://carvel.dev/ytt/ would be great. We could generate these templates in pipelines, or we could just make it easier to maintain what we have.

For more advanced configuration management you might be interested in ytt ( https://carvel.dev/ytt/ ) which is a "yaml-aware" templating tool. it lets you do "patches" via an overlay mechanism to add or remove specific yaml blocks, and it also lets you use a simplified python dialect for more complicated logic. With ytt you would put your DNS IP into a "data values" file and then run ytt to render it into the configs before handing them off to the deployment tool. e.g. `ytt -f | kubectl apply`

I said this above as well: ytt (https://carvel.dev/ytt/) lets you embed starlark into valid yaml, among other cute tricks for managing biz-logic in configs.

Manifests are generated with ytt (https://carvel.dev/ytt/).

This is why you should consider https://carvel.dev/ytt/

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.