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monitors

This project aims to install a little controller on a K8s cluster. This controller, called controller-manager works in system namespace and it's responsible of handling Custom Resources called monitors, which are used to collect metrics from nodes in the cluster at a chosen interal.

Description

// TODO(user): An in-depth paragraph about your project and overview of use This particular repository hosts the controller and all related resources. In the config folder there are all the k8s definitions you'll need.

Node Monitors

There are 3 kinds of Node Monitors, all managed as CR by the controller. Those are:

  • NodeCPU
  • NodeMemory
  • NodeDisk

You can find some example definitions in the dev folder, but the best way to manage them is using this project deployed in your cluster: github.com/Aterocana/k8smonitors.

Getting Started

Prerequisites

  • go version v1.24.0+
  • docker version 17.03+.
  • kubectl version v1.11.3+.
  • Access to a Kubernetes v1.11.3+ cluster.

To Deploy on the cluster

Build (and push) docker image

Build and push your image to the location specified by IMG:

make docker-build docker-push IMG=<some-registry>/monitors:tag

NOTE: This image ought to be published in the personal registry you specified. And it is required to have access to pull the image from the working environment. Make sure you have the proper permission to the registry if the above commands don’t work.

Using kind

Alternatively, if you're using kind in local environment, you can use make kind-dev to create a cluster as defined in dev/kind-config.yaml (feel free to edit it, or creating a new one according to your needs, remember to update the KIND_CONFIG variable in the Makefile if you do).

Generate the docker image and load in your nodes with make kind-load IMG=<IMAGE_NAME>

Install in the Cluster

Install the CRDs into the cluster:

make install

Deploy the Manager to the cluster with the image specified by IMG:

make deploy IMG=<some-registry>/monitors:tag

NOTE: If you encounter RBAC errors, you may need to grant yourself cluster-admin privileges or be logged in as admin.

Create instances of your solution You can apply the samples (examples) from the config/sample:

kubectl apply -k config/samples/

NOTE: Ensure that the samples has default values to test it out.

To Uninstall

Delete the instances (CRs) from the cluster:

kubectl delete -k config/samples/

Delete the APIs(CRDs) from the cluster:

make uninstall

UnDeploy the controller from the cluster:

make undeploy

Project Distribution

Following the options to release and provide this solution to the users.

By providing a bundle with all YAML files

  1. Build the installer for the image built and published in the registry:
make build-installer IMG=<some-registry>/monitors:tag

NOTE: The makefile target mentioned above generates an 'install.yaml' file in the dist directory. This file contains all the resources built with Kustomize, which are necessary to install this project without its dependencies.

  1. Using the installer

Users can just run 'kubectl apply -f ' to install the project, i.e.:

kubectl apply -f https://raw.githubusercontent.com/<org>/monitors/<tag or branch>/dist/install.yaml

By providing a Helm Chart

  1. Build the chart using the optional helm plugin
kubebuilder edit --plugins=helm/v1-alpha
  1. See that a chart was generated under 'dist/chart', and users can obtain this solution from there.

NOTE: If you change the project, you need to update the Helm Chart using the same command above to sync the latest changes. Furthermore, if you create webhooks, you need to use the above command with the '--force' flag and manually ensure that any custom configuration previously added to 'dist/chart/values.yaml' or 'dist/chart/manager/manager.yaml' is manually re-applied afterwards.

License

Copyright 2025.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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A K8s controller which handle CRD to monitor nodes resources

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