charts VS prometheus-operator

I'm using the official stable/prometheus-operator chart do deploy Prometheus with helm.

Enter the default username: admin and password: prom-operator which you can find from here to access Grafana.

In this step opta generates terraform code to deploys helm chart. You can review the plan and accept it. It will take around 2-3 minutes for the plan to get applied. For specifying values to the helm chart you can modify the values inside opta-gcp/opta.yml . Refer to jenkins helm chart for more details https://github.com/helm/charts/tree/master/stable/jenkins. After opta apply finishes you will have jenkins up and running on your infra.

I do use Helm to deploy, but the trouble with using it for secrets is that it overwrites them on an upgrade.

In this section, you use Helm to deploy the Kubernetes Operator for Apache Spark from the incubator Chart repository. Helm is a package manager you can use to configure and deploy Kubernetes apps.

Redis: I have used Azure Cache for Redis, but feel free to explore other options e.g. you can install one in your Kubernetes cluster using a Helm chart).

To install Prometheus, the most convenient way is using the Prometheus Operator Helm Chart. Helm is a package manager for Kubernetes. It simplifies the installation by integrating most of the necessary configuration settings into one package. The following instructions are based on a blog post which describes the installation process specific for AKS clusters.

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...

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.

I am using the jsonnet version of Prometheus Operator. The CRD would have conflict. So we just need to have a separate namespace, deployment, and service. Another alternative would be deploying Prometheus and Grafana like deploying them on Podman, without deploying those CRD?

I'm currently running into issues implementing properly configured Prometheus in order to access Node Exporter metrics. The current setup consists of Kubernetes along with a VM in the same Azure environment (The kubernetes pods can ping the VM). I have followed the guide: https://prometheus.io/docs/guides/node-exporter/ - But can't seem to implement the following in kubernetes: " Once Prometheus is installed you can start it up, using the --config.file flag to point to the Prometheus configuration that you created above:./prometheus --config.file=./prometheus.yml "Using helm kube-prometheus-stack: https://github.com/prometheus-community/helm-charts/tree/main/charts/kube-prometheus-stack I have tried additionalScrapeConfigs without any luck. Additionally, I have tried the following guide (https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/additional-scrape-config.md) but get stuck at the same point as before: " Finally, reference this additional configuration in your prometheus.yaml CRD."Where can I edit the prometheus.yaml after the installation or before?

## RelabelConfigs to apply to samples before scraping ## ref: https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#relabelconfig ## relabelings: [] # - sourceLabels: [__meta_kubernetes_pod_node_name] # separator: ; # regex: ^(.*)$ # targetLabel: nodename # replacement: $1 # action: replace

I think it might still have issues figuring out that it needs to apply CRDs first: https://github.com/grafana/tanka/issues/246 Besides that, I found it super-handy for deploying https://github.com/prometheus-operator/prometheus-operator and https://github.com/kubernetes-monitoring/kubernetes-mixin

Prometheus Operator to gather the custom/external metrics.

The answer is Service Monitors. Service Monitors are used by Prometheus to automatically detect it's target service to scrape data. Refer here for more information.