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feat: trans crane-scheduler docs to cn
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Signed-off-by: zsnmwy <szlszl35622@gmail.com>
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@zsnmwy @chenkaiyue
zsnmwy authored and chenkaiyue committed Jun 11, 2022
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22 changes: 17 additions & 5 deletions docs/tutorials/scheduling-pods-based-on-actual-node-load.md
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## Overview
Crane-scheduler is a collection of scheduler plugins based on [scheduler framework](https://kubernetes.io/docs/concepts/scheduling-eviction/scheduling-framework/), including:

- [Dynamic scheuler: a load-aware scheduler plugin](./dynamic-scheduler-plugin.md)
- [Dynamic scheduler: a load-aware scheduler plugin](./dynamic-scheduler-plugin.md)

## Get Started

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image: docker.io/gocrane/crane-scheduler:0.0.23
...
```
5. Install [crane-scheduler-controller](deploy/controller/deployment.yaml):
```bash
kubectl apply ./deploy/controller/rbac.yaml && kubectl apply -f ./deploy/controller/deployment.yaml
```
5. Install [crane-scheduler-controller](https://github.com/gocrane/crane-scheduler/tree/main/deploy/controller):

=== "Main"

```bash
kubectl apply -f https://raw.githubusercontent.com/gocrane/crane-scheduler/main/deploy/controller/rbac.yaml
kubectl apply -f https://raw.githubusercontent.com/gocrane/crane-scheduler/main/deploy/controller/deployment.yaml
```

=== "Mirror"


```bash
kubectl apply -f https://finops.coding.net/p/gocrane/d/crane-scheduler/git/raw/main/deploy/controller/rbac.yaml?download=false
kubectl apply -f https://finops.coding.net/p/gocrane/d/crane-scheduler/git/raw/main/deploy/controller/deployment.yaml?download=false
```

### Schedule Pods With Crane-scheduler
Test Crane-scheduler with following example:
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# Crane-scheduler

## 概述
Crane-scheduler 是一组基于[scheduler framework](https://kubernetes.io/docs/concepts/scheduling-eviction/scheduling-framework/)的调度插件， 包含：

- [Dynamic scheduler：负载感知调度器插件](./dynamic-scheduler-plugin.md)

## 开始

### 安装 Prometheus
确保你的 Kubernetes 集群已安装 Prometheus。如果没有，请参考[Install Prometheus](https://github.com/gocrane/fadvisor/blob/main/README.md#prerequests).

### 配置 Prometheus 规则

1. 配置 Prometheus 的规则以获取预期的聚合数据：

```yaml
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
name: example-record
spec:
groups:
- name: cpu_mem_usage_active
interval: 30s
rules:
- record: cpu_usage_active
expr: 100 - (avg by (instance) (irate(node_cpu_seconds_total{mode="idle"}[30s])) * 100)
- record: mem_usage_active
expr: 100*(1-node_memory_MemAvailable_bytes/node_memory_MemTotal_bytes)
- name: cpu-usage-5m
interval: 5m
rules:
- record: cpu_usage_max_avg_1h
expr: max_over_time(cpu_usage_avg_5m[1h])
- record: cpu_usage_max_avg_1d
expr: max_over_time(cpu_usage_avg_5m[1d])
- name: cpu-usage-1m
interval: 1m
rules:
- record: cpu_usage_avg_5m
expr: avg_over_time(cpu_usage_active[5m])
- name: mem-usage-5m
interval: 5m
rules:
- record: mem_usage_max_avg_1h
expr: max_over_time(mem_usage_avg_5m[1h])
- record: mem_usage_max_avg_1d
expr: max_over_time(mem_usage_avg_5m[1d])
- name: mem-usage-1m
interval: 1m
rules:
- record: mem_usage_avg_5m
expr: avg_over_time(mem_usage_active[5m])
```
!!! warning "️Troubleshooting"
Prometheus 的采样间隔必须小于30秒，不然可能会导致规则无法正常生效。如：`cpu_usage_active`。

2\. 更新 Prometheus 服务发现的配置，确保`node_exporters/telegraf`正在使用节点名称作为实例名称：

```yaml hl_lines="9-11"
- job_name: kubernetes-node-exporter
tls_config:
ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
insecure_skip_verify: true
bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
scheme: https
kubernetes_sd_configs:
...
# Host name
- source_labels: [__meta_kubernetes_node_name]
target_label: instance
...
```

!!! note "Note"

如果节点名称是本机IP，则可以跳过此步骤。

### 安装 Crane-scheduler
有两种选择：

- 安装 Crane-scheduler 作为第二个调度器
- 用 Crane-scheduler 替换原生 Kube-scheduler

#### 安装 Crane-scheduler 作为第二个调度器
=== "Main"

```bash
helm repo add crane https://gocrane.github.io/helm-charts
helm install scheduler -n crane-system --create-namespace --set global.prometheusAddr="REPLACE_ME_WITH_PROMETHEUS_ADDR" crane/scheduler
```

=== "Mirror"

```bash
helm repo add crane https://finops-helm.pkg.coding.net/gocrane/gocrane
helm install scheduler -n crane-system --create-namespace --set global.prometheusAddr="REPLACE_ME_WITH_PROMETHEUS_ADDR" crane/scheduler
```
#### 用 Crane-scheduler 替换原生 Kube-scheduler

1. 备份`/etc/kubernetes/manifests/kube-scheduler.yaml`
```bash
cp /etc/kubernetes/manifests/kube-scheduler.yaml /etc/kubernetes/
```
2. 通过修改 kube-scheduler 的配置文件（`scheduler-config.yaml` ) 启用动态调度插件并配置插件参数：
```yaml title="scheduler-config.yaml"
apiVersion: kubescheduler.config.k8s.io/v1beta2
kind: KubeSchedulerConfiguration
...
profiles:
- schedulerName: default-scheduler
plugins:
filter:
enabled:
- name: Dynamic
score:
enabled:
- name: Dynamic
weight: 3
pluginConfig:
- name: Dynamic
args:
policyConfigPath: /etc/kubernetes/policy.yaml
...
```
3. 新建`/etc/kubernetes/policy.yaml`，用作动态插件的调度策略：
```yaml title="/etc/kubernetes/policy.yaml"
apiVersion: scheduler.policy.crane.io/v1alpha1
kind: DynamicSchedulerPolicy
spec:
syncPolicy:
##cpu usage
- name: cpu_usage_avg_5m
period: 3m
- name: cpu_usage_max_avg_1h
period: 15m
- name: cpu_usage_max_avg_1d
period: 3h
##memory usage
- name: mem_usage_avg_5m
period: 3m
- name: mem_usage_max_avg_1h
period: 15m
- name: mem_usage_max_avg_1d
period: 3h
predicate:
##cpu usage
- name: cpu_usage_avg_5m
maxLimitPecent: 0.65
- name: cpu_usage_max_avg_1h
maxLimitPecent: 0.75
##memory usage
- name: mem_usage_avg_5m
maxLimitPecent: 0.65
- name: mem_usage_max_avg_1h
maxLimitPecent: 0.75
priority:
##cpu usage
- name: cpu_usage_avg_5m
weight: 0.2
- name: cpu_usage_max_avg_1h
weight: 0.3
- name: cpu_usage_max_avg_1d
weight: 0.5
##memory usage
- name: mem_usage_avg_5m
weight: 0.2
- name: mem_usage_max_avg_1h
weight: 0.3
- name: mem_usage_max_avg_1d
weight: 0.5
hotValue:
- timeRange: 5m
count: 5
- timeRange: 1m
count: 2
```
4. 修改`kube-scheduler.yaml`并用 Crane-scheduler的镜像替换 kube-scheduler 镜像：
```yaml title="kube-scheduler.yaml"
...
image: docker.io/gocrane/crane-scheduler:0.0.23
...
```
5. 安装[crane-scheduler-controller](https://github.com/gocrane/crane-scheduler/tree/main/deploy/controller)：
=== "Main"

```bash
kubectl apply -f https://raw.githubusercontent.com/gocrane/crane-scheduler/main/deploy/controller/rbac.yaml
kubectl apply -f https://raw.githubusercontent.com/gocrane/crane-scheduler/main/deploy/controller/deployment.yaml
```

=== "Mirror"

```bash
kubectl apply -f https://finops.coding.net/p/gocrane/d/crane-scheduler/git/raw/main/deploy/controller/rbac.yaml?download=false
kubectl apply -f https://finops.coding.net/p/gocrane/d/crane-scheduler/git/raw/main/deploy/controller/deployment.yaml?download=false
```

### 使用 Crane-scheduler 调度 Pod
使用以下示例测试 Crane-scheduler ：

```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: cpu-stress
spec:
selector:
matchLabels:
app: cpu-stress
replicas: 1
template:
metadata:
labels:
app: cpu-stress
spec:
schedulerName: crane-scheduler
hostNetwork: true
tolerations:
- key: node.kubernetes.io/network-unavailable
operator: Exists
effect: NoSchedule
containers:
- name: stress
image: docker.io/gocrane/stress:latest
command: ["stress", "-c", "1"]
resources:
requests:
memory: "1Gi"
cpu: "1"
limits:
memory: "1Gi"
cpu: "1"
```
!!! Note

如果想将`crane-scheduler`用作默认调度器，请将`crane-scheduler`更改为`default-scheduler`。

如果测试 pod 调度成功，将会有以下事件：
```bash
Type Reason Age From Message
---- ------ ---- ---- -------
Normal Scheduled 28s crane-scheduler Successfully assigned default/cpu-stress-7669499b57-zmrgb to vm-162-247-ubuntu
```

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