k8s存储空间监控

K8S存储空间监控是在Kubernetes集群中监控存储卷使用情况的重要一环。在K8S中，每个Pod都可以挂载一个或多个存储卷用于持久化数据或共享数据。为了确保存储空间充足并及时做出调整，我们需要监控存储空间的使用情况。下面是实现“k8s存储空间监控”的流程表格：

| 步骤 | 描述 |
| ---- | ---- |
| 1 | 部署Prometheus Operator |
| 2 | 创建PersistentVolumeClaim监控规则 |
| 3 | 更新Prometheus配置 |
| 4 | 查看存储空间监控数据 |

首先，我们需要部署Prometheus Operator来实现对K8S集群内部资源的监控。以下是实现这一步骤的代码示例：

```yaml
# prometheus-operator.yaml
apiVersion: v1
kind: Namespace
metadata:
name: monitoring

---
apiVersion: v1
kind: ServiceAccount
metadata:
name: default
namespace: monitoring

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: default
rules:
- apiGroups: ["*"]
resources: ["*"]
verbs: ["*"]

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: default
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: default
subjects:
- kind: ServiceAccount
name: default
namespace: monitoring

---
apiVersion: apps/v1
kind: Deployment
metadata:
name: prometheus-operator
namespace: monitoring
spec:
replicas: 1
selector:
matchLabels:
name: prometheus-operator
template:
metadata:
labels:
name: prometheus-operator
spec:
serviceAccountName: default
containers:
- name: prometheus-operator
image: quay.io/coreos/prometheus-operator:v0.38.1
ports:
- containerPort: 8080
```

以上为部署Prometheus Operator的yaml文件，可以在K8S集群中执行该文件来完成部署。接下来，我们需要创建PersistentVolumeClaim监控规则，让Prometheus Operator监控存储空间使用情况。以下是创建规则的代码示例：

```yaml
# pvc-monitoring-rules.yaml
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
name: pvc-monitoring-rules
namespace: monitoring
spec:
groups:
- name: pvc-monitoring-rules
rules:
- alert: PVCUsageLow
expr: sum(kubelet_volume_stats_used_bytes) by (persistentvolumeclaim) / sum(kubelet_volume_stats_capacity_bytes) by (persistentvolumeclaim) * 100 > 80
for: 1m
annotations:
summary: "PVC Usage is too high"
description: "Storage usage for PVC {{ $labels.persistentvolumeclaim }} is above 80%"
```

以上yaml文件定义了一个PrometheusRule，监控持久卷使用量，当使用量超过80%时触发告警。接着，我们需要更新Prometheus的配置文件，让其加载我们创建的规则。以下是更新配置的代码示例：

```yaml
# prometheus-configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: prometheus-server-conf
namespace: monitoring
data:
prometheus.yml: |
global:
scrape_interval: 15s
rule_files:
- /etc/prometheus/rules/*.yaml

---
apiVersion: monitoring.coreos.com/v1
kind: Prometheus
metadata:
name: prometheus
namespace: monitoring
spec:
baseImage: quay.io/prometheus/prometheus
replicas: 1
version: v2.15.2
serviceAccountName: default
serviceMonitorNamespaceSelector: {}
serviceMonitorSelector: {}
ruleSelector:
matchLabels:
app: prometheus-server
alerting:
alertmanagers:
- name: alertmanager-main
namespace: monitoring
```

最后，我们可以查看存储空间监控数据，通过Prometheus的Dashboard或Grafana等监控工具查看存储空间使用情况并及时调整。通过以上步骤，我们成功实现了“k8s存储空间监控”的功能，帮助K8S集群更好地管理存储资源。希望以上信息对你理解K8S存储空间监控有所帮助。