Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/etopeter/kubectl-view-utilization
kubectl plugin to show cluster CPU and Memory requests utilization
https://github.com/etopeter/kubectl-view-utilization
awk krew kubectl kubectl-plugin kubernetes
Last synced: 8 days ago
JSON representation
kubectl plugin to show cluster CPU and Memory requests utilization
- Host: GitHub
- URL: https://github.com/etopeter/kubectl-view-utilization
- Owner: etopeter
- License: apache-2.0
- Created: 2019-01-12T23:00:02.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-09-10T01:13:44.000Z (almost 4 years ago)
- Last Synced: 2024-06-19T09:13:14.242Z (9 days ago)
- Topics: awk, krew, kubectl, kubectl-plugin, kubernetes
- Language: Shell
- Size: 230 KB
- Stars: 219
- Watchers: 3
- Forks: 17
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
Lists
- awesome-starred - etopeter/kubectl-view-utilization - kubectl plugin to show cluster CPU and Memory requests utilization (kubernetes)
- awesome-kubernetes - View-utilization
- awesome-kubernetes - View-utilization
- awesome-kubernetes - View-utilization
README
# `view-utilization` - kubectl plugin to view utilization
---
[](
https://travis-ci.org/etopeter/kubectl-view-utilization) [](
https://codeclimate.com/github/etopeter/kubectl-view-utilization/test_coverage) [](
https://github.com/etopeter/kubectl-view-utilization/blob/master/LICENSE
) [](
https://github.com/etopeter/kubectl-view-utilization/issues)
`view-utilization` kubectl plugin that shows cluster resource utilization. It is written in
BASH/awk and uses kubectl tool to gather information. You can use it to
estimate cluster capacity and see at a glance overprovisioned resoures
with this simple command **`kubectl view-utilization`**.
## Installation
### krew (kubectl plugin manager)
1. [Install krew](https://github.com/GoogleContainerTools/krew)
plugin manager for kubectl.
1. Run `kubectl krew install view-utilization`.
1. Update plugin with `kubectl krew upgrade view-utilization`
### macOS
On macOS, plugin can be installed via [Homebrew](https://brew.sh):
```shell
brew tap etopeter/tap
brew install kubectl-view-utilization
```
### Install with Curl
For Kubernetes 1.12 or newer:
```shell
# Get latest tag
VIEW_UTILIZATION_PATH=/usr/local/bin
VIEW_UTILIZATION_TAG=$(curl -s https://api.github.com/repos/etopeter/kubectl-view-utilization/releases/latest | grep "tag_name"| sed -E 's/.*"([^"]+)".*/\1/')
# Download and unpack plugin
curl -sL "https://github.com/etopeter/kubectl-view-utilization/releases/download/${VIEW_UTILIZATION_TAG}/kubectl-view-utilization-${VIEW_UTILIZATION_TAG}.tar.gz" |tar xzvf - -C $VIEW_UTILIZATION_PATH
# Rename file if you want to use kubectl view-utilization or leave it if you want to invoke it with kubectl view utilization (with space between). Underscore between words allows kubernetes plugin to have hyphen between words.
mv $VIEW_UTILIZATION_PATH/kubectl-view-utilization $VIEW_UTILIZATION_PATH/kubectl-view_utilization
# Change permission to allow execution
chmod +x $VIEW_UTILIZATION_PATH/kubectl-view_utilization
# Check if plugin is detected
kubectl plugin list
```
### Dependencies
While we try to be as minimalistic as possible the only dependency is [Awk](https://www.gnu.org/software/gawk/). While GNU Awk (gawk) is recommended, `mawk` is also supported.
- kubectl
- bash
- awk (gawk, mawk)
## Usage
This plugin should be invoked with kubectl command, and will appear as
subcommand. It will use the existing context configured in `$KUBECONFIG` file.
You can override context with `--context` parameter.
```shell
kubectl view-utilization
Resource Requests %Requests Limits %Limits Allocatable Schedulable Free
CPU 43475 81 70731 132 53200 9725 0
Memory 94371840000 42 147184418816 66 222828834816 128456994816 75644416000
```
| Column | Short | Description |
|-------------|-------|-------------|
| Requests | Req | Calculated total pod requests across all namespaces |
| %Requests | %R | Percentage of total requests against allocatable requests |
| Limits | Lim | Calculated total pod limits across all namespaces |
| %Limits | %L | Percentage of total limits against allocatable limits |
| Allocatable | Alloc | Available allocatable resources |
| Schedulable | Sched | Resources that can be used to schedule pods; Available for pod requests (allocatable - requests) |
| Free | Free | Resources that are outside all requests or limits |
Example usage:
Human readable format `-h`
```shell
kubectl view-utilization -h
Resource Req %R Lim %L Alloc Sched Free
CPU 43 71% 71 117% 60 17 0
Memory 88G 37% 138G 58% 237G 149G 99G
```
Check utilization for specific namespace `-n`
```shell
kubectl view-utilization -h -n kube-system
Resource Req %R Lim %L Alloc Sched Free
CPU 3.7 6% 4.3 7% 60 57 56
Memory 5.4G 2% 7.9G 3% 237G 232G 229G
```
Check utilization for node groups using label filters.
Example filter results only for nodes in availability zone us-west-2b `failure-domain.beta.kubernetes.io/zone=us-west-2b`:
```shell
kubectl view-utilization -l failure-domain.beta.kubernetes.io/zone=us-west-2b -h
Resource Req %R Lim %L Alloc Sched Free
CPU 14 64% 24 106% 22 8 0
Memory 30G 33% 47G 52% 89G 59G 42G
```
Breakdown of node utilization `kubectl view-utilization nodes`
```shell
CPU : ▆▆▆▆▅▅▇▄▄▆▂▆
Memory: ▇▅▆▇▇▅▅▄▆▇▁▆
CPU Memory
Node Req %R Lim %L Req %R Lim %L
ip-10-0-0-175.us-east-1.compute.internal 8.1 53% 13 86% 24G 83% 31G 105%
ip-10-0-0-55.us-east-1.compute.internal 6.6 43% 13 90% 19G 64% 22G 76%
ip-10-0-18-238.us-east-1.compute.internal 7 46% 12 85% 24G 82% 25G 86%
ip-10-0-19-235.us-east-1.compute.internal 10 67% 14 93% 27G 92% 29G 98%
ip-10-0-21-0.us-east-1.compute.internal 9.5 63% 12 83% 25G 86% 30G 101%
ip-10-0-28-44.us-east-1.compute.internal 6.9 45% 10 70% 20G 70% 24G 81%
ip-10-0-3-133.us-east-1.compute.internal 6 40% 14 97% 20G 67% 24G 83%
ip-10-0-3-24.us-east-1.compute.internal 5.9 39% 10 66% 17G 57% 19G 63%
ip-10-0-35-119.us-east-1.compute.internal 7.7 51% 10 66% 23G 78% 28G 94%
ip-10-0-39-146.us-east-1.compute.internal 10 66% 13 90% 25G 84% 30G 101%
ip-10-0-40-184.us-east-1.compute.internal 3.6 23% 5.7 37% 11G 17% 13G 21%
ip-10-0-42-24.us-east-1.compute.internal 6.6 43% 13 90% 22G 76% 26G 88%
```
Overview of namespace utilization `kubectl view-utilization namespaces`
```shell
kubectl view-utilization namespaces -h
CPU Memory
Namespace Req Lim Req Lim
analitics 6.6 10 14G 21G
kube-system 3.5 4.2 5.1G 7.6G
lt 13 21 27G 42G
monitoring 0.35 3.5 1.8G 3.5G
qa 13 21 27G 42G
rc 6.6 10 14G 21G
```
Output to JSON format.
```shell
kubectl view-utilization -o json | jq
{
"CPU": {
"requested": 43740,
"limits": 71281,
"allocatable": 60800,
"schedulable": 17060,
"free": 0
},
"Memory": {
"requested": 94942265344,
"limits": 148056834048,
"allocatable": 254661525504,
"schedulable": 159719260160,
"free": 106604691456
}
}
```
---
## Simplify workflow with aliases
Add to your `~/.bash_profile` or `~/.zshrc`
```shell
alias kvu="kubectl view-utilization -h"
```
Now you can use `kvu` alias to quickly show resource usage
Example commands:
```shell
kvu
kvu namespaces
kvu -n kube-system
```
---
## Change log
See the [CHANGELOG](CHANGELOG.md) file for details.
## Developing
1. Clone this repo with git
1. Test locally with kubectl pointing to your cluster (minikube or full cluster)
1. Run unit tests `make test`