88 lines
1.7 KiB
Markdown
88 lines
1.7 KiB
Markdown
> 本文作者：丁辉
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# Pod配置资源请求
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**CPU配置基本表示法**
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- **1 个完整的 CPU 核心** = `1` 或 `1000m`
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- **100m** = `0.1` 个 CPU 核心（100 毫核）
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- **500m** = `0.5` 个 CPU 核心（半个核心）
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- **250m** = `0.25` 个 CPU 核心
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**Requests 和 Limits 核心区别**
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- **`requests`**：**预约/保证的资源量** - 调度器保证 Pod 能获得这么多资源
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- **`limits`**：**资源使用上限** - 容器不能超过这个硬性限制
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## Deployment配置资源请求
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1. 编写 Yaml
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```bash
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vi nginx-deployment.yaml
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```
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内容如下(最小化 Yaml)
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```yaml
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: nginx-deployment
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labels:
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app: nginx
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spec:
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replicas: 1
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selector:
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matchLabels:
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app: nginx
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template:
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metadata:
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labels:
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app: nginx
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spec:
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containers:
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- name: nginx
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image: nginx:alpine
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ports:
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- containerPort: 80
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resources:
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requests: # 必须定义，供 HPA 计算使用率
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cpu: 50m # 例如：0.1 个 CPU 核心
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memory: 128Mi
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limits: # 限制是可选的，但建议设置
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cpu: 100m
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memory: 256Mi
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: nginx-deployment
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labels:
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app: nginx
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spec:
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ports:
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- port: 80
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selector:
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app: nginx
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```
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2. 部署
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```bash
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kubectl apply -f nginx-deployment.yaml
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```
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3. 验证
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```bash
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kubectl get deployments
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```
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4. 等一会查看资源使用量
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```bash
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kubectl top pod
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```
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