kubectl-operator VS prometheus-operator

Kubernetes Operators simplify the management of complex applications on Kubernetes. In this guide, we'll walk through creating a simple Kubernetes Operator using the Operator Framework. We'll also cover setting up a local Kubernetes cluster with KIND (Kubernetes in Docker) and deploying the Operator to the KIND cluster.

There's a kubectl extension for it too. https://github.com/operator-framework/kubectl-operator

Since Go got generics, working with the Kubernetes API could become far more ergonomic. It's been pulling teeth until now. I'm eager to see how the upstream APIs change over time.

In the mean time, one of the creators of the Operator Framework[0] built a bunch of useful patterns using generics that we used to build the SpiceDB Operator[1] called controller-idioms[2].

Does anyone know of other efforts to improve the status quo?

[0]: https://operatorframework.io

[1]: https://github.com/authzed/spicedb-operator

[2]: https://github.com/authzed/controller-idioms

There are many frameworks, like the Operator Framework (https://operatorframework.io/) to the MetaController (https://github.com/metacontroller/metacontroller) to KubeBuilder(https://github.com/kubernetes-sigs/kubebuilder) to the Kubernetes Operator Framework (kopf, https://kopf.readthedocs.io/en/stable/), among others.

Operator lifecycle manager (OLM) is a Kubernetes feature & is part of Operator framework which provides tools that helps in the development and management of operators. OpenShift 4.x is build using different operators that manages cluster components like api-server, etcd, authentication, OAuth, ingress, etc. OpenShift makes use of OLM to install these operators as part of cluster build & OLM comes by default with OpenShift. OLM is an operator itself and understanding how it manages the operator lifecycle using different CRD’s & its flow is important, which I have explained in my article.

The documentation gives you all available options, but many of them are optional. If you know the package name of the operator (which you can get either via oc get packagemanifests or kubectl operator list-available from the kubectl plugin all you really need is:

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.