prometheus-operator VS kuberhealthy

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.

At the time of writing this post, two tools have Kubernetes native synthetic checks namely Kuberhealthy and Grafana Cloud. Kuberhealthy is an operator-based synthetic monitoring tool that uses custom resources called Kuberhealthy checks (khchecks), while Grafana cloud uses agents to gather data from the probes that periodically check the pre-defined endpoints. Kuberhealthy provides a lot more synthetic checks in comparison to Grafana Cloud and also it is an open-source option too. Thus, we will explore synthetic monitoring in the Kubernetes clusters with the help of Kuberhealthy.