Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/caoyingjunz/pixiu-autoscaler

pixiu-autoscaler aims to maintain the HPA automatically for kubernetes resources by annotations.
https://github.com/caoyingjunz/pixiu-autoscaler

hpa kubernetes kubez-ansible pixiu

Last synced: 4 days ago
JSON representation

pixiu-autoscaler aims to maintain the HPA automatically for kubernetes resources by annotations.

Awesome Lists containing this project

README

        

# Pixiu Autoscaler

`pixiu-autoscaler` 通过为 `workload` 添加 `annotations` 的方式,自动维护对应 `HorizontalPodAutoscaler` 的生命周期.

## Prerequisites

在 `kubernetes` 集群中, 需要先完成 `Metrics Server` 组件的安装,请参考 [Metrics Server](https://github.com/kubernetes-incubator/metrics-server)

`kubectl top node/pod` 验证 `Metrics Server` 已成功安装

``` bash
# kubectl top node
NAME CPU(cores) CPU% MEMORY(bytes) MEMORY%
kubez 333m 16% 1225Mi 65%

# kubectl top pod
NAME CPU(cores) MEMORY(bytes)
test1-54cd855b77-q67h6 1m 3Mi
```

## Installing

The steps can be found in [Installation](./deploy)

## Getting Started

在 `workload` 的 `annotations` 中添加所需注释即可自动创建对应的 `HPA`

```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
annotations:
...
# 可选,默认 minReplicas 为 1
hpa.caoyingjunz.io/minReplicas: "2" # MINPODS
# 可选,默认 maxReplicas 为 6
hpa.caoyingjunz.io/maxReplicas: "6" # MAXPODS
...

# 支持多种 TARGETS 类型,若开启,至少选择一种,可同时支持多个 TARGETS
# CPU, in cores. (500m = .5 cores)
# Memory, in bytes. (500Gi = 500GiB = 500 * 1024 * 1024 * 1024)

# 使用率 examples
cpu.hpa.caoyingjunz.io/targetAverageUtilization: "80"
memory.hpa.caoyingjunz.io/targetAverageUtilization: "60"

# 使用值 examples
cpu.hpa.caoyingjunz.io/targetAverageValue: 600m
memory.hpa.caoyingjunz.io/targetAverageValue: 60Mi

# prometheus examples
# TODO
...
name: test1
namespace: default
...
```

`pixiu-autoscaler-controller` 会根据注释的变化,自动同步 `HPA` 的生命周期.

Copyright 2019 caoyingjunz ([email protected]) Apache License 2.0