kubernetes-mixin VS charts

I'd suggest looking at the queries used by the kubernetes mixin dashboards for inspiration.

Came across this lib, but realized the last update was 4 years ago.

Take a look at the kubernetes mixins to get an idea and/or starting point

The last step is to use the Mixin dashboard to visualize the usage of PV, you can get it from here

It's working good so far, except for the annoying CPUThrottlingHigh alert that is firing for many pods (including the own Prometheus' config-reloaders containers). This alert is currently under discussion, and I want to silence its notifications for now.

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

These all standard dashboards are basically generated from the kubernetes-mixin project.

I did this using the incubator/raw chart ( https://github.com/helm/charts/tree/master/incubator/raw ), by creating a k8s Job.

I've installed Prometheus operator 0.34 (which works as expected) on cluster A (main prom)Now I want to use the federation option,I mean collect metrics from other Prometheus which is located on other K8S cluster B

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).