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tonnage

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Tonnage is a small utility to summarize the resource capacity and allocation of a Kubernetes cluster. It will inspect pods on a per node basis and then provide both per-node and cluster-wide summary of the resources that are allocatable vs. what has actually been allocated (requests and limits).

This inspection can be cluster wide or you can use label selectors to inspect a subset of nodes, pods, or both.

Table of contents

Installation

Source install

Requirements

  • A working Go install (tested only with 1.22)

A particular release:

$ go install github.com/elementalvoid/tonnage@v0.1.0

Latest release:

$ go install github.com/elementalvoid/tonnage@latest

Binary install

Every release provides binary releases. These can be manually downloaded and installed.

  • Download your desired version
  • Unpack it (tar -xzvf tonnage-v0.0.2-linux-amd64.tgz)
  • Find the tonnage binary and move it to your desired location (mv linux-amd64/tonnage /usr/local/bin/tonnage)

As long as it's in your shell's path you should be able to run it: tonnage -h

Kubernetes version support

tonnage is currently built with the v1.30 Kubernetes client. For a full support matrix please reference the client-go compatibility chart.

Usage

$ tonnage -h 

Targeting clusters

Tonnage accepts a --context parameter which will cause the client to use the specified "context" from the kubectl configuration file (kubecfg).

$ tonnage --context=minikube
$ tonnage --context=prod-us-east-1

Label Selectors

Label selectors can reduce the inspection to a subset or nodes, pods, or both. This can be handy to summarize tainted nodes, or to see resource consumption from a certain team or set of applications.

From the Kubernetes docs on Labels:

Equality- or inequality-based requirements allow filtering by label keys and values. Matching objects must satisfy all of the specified label constraints, though they may have additional labels as well. Three kinds of operators are admitted =,==,!=. The first two represent equality (and are simply synonyms), while the latter represents inequality. For example:

environment = production
tier != frontend

Set-based label requirements allow filtering keys according to a set of values. Three kinds of operators are supported: in,notin and exists (only the key identifier). For example:

environment in (production, qa)
tier notin (frontend, backend)
partition
!partition

Node selection:

$ tonnage --node-selector='kubernetes.io/role=node,taint.company.com/app-role=sensitive'

Pod selection

All pods with the label releaseVersion.

$ tonnage --pod-selector='releaseVersion'

Only kube-dns and calico-node pods:

$ tonnage --pod-selector='k8s-app in (kube-dns, calico-node)'

Development

Dependency management is done with go modules. Release builds are created with goreleaser. Testing is done with unit tests and GolangCI-Lint.

Testing

Go test

go test -v ./

golangci-lint

A golangci-list configuration file is available. Simply run:

golangci-list run

TODO

  • Automated (binary) builds.
  • Tests.
  • Limit by namespace.
  • Separate scanning from reporting.
    • Save scans for later?
    • Save whole scan? Doing so would mean not using built-in k8s selector support if we want to be able to load a scan and further reduce it via selectors.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

  1. Fork it (https://github.com/elementalvoid/tonnage/fork)
  2. Create your feature branch (git checkout -b feature/fooBar)
  3. Commit your changes (git commit -am 'Add some fooBar')
  4. Push to the branch (git push origin feature/fooBar)
  5. Create a new Pull Request

License

Apache 2.0

Thanks