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SQLServer教程FG076-SQLServer K8s部署实战

教程整理：风哥教程  |  更新时间：2026-01-31  |  教程分类：SQLServer教程  |  文档学习：31

本文档风哥主要介绍SQLServer数据库K8s部署相关知识，包括SQLServer数据库K8s部署配置、SQLServer数据库K8s服务配置、SQLServer数据库K8s监控配置、SQLServer数据库K8s高可用部署等内容，风哥教程参考SQLServer官方文档容器部署内容编写，适合DBA人员在学习和测试中使用，如果要应用于生产环境则需要自行确认。

Part01-基础概念与理论知识

1.1 SQLServer数据库K8s部署概念

SQLServer数据库K8s部署是指将SQLServer数据库容器化并部署在Kubernetes集群中，利用Kubernetes的容器编排能力，实现SQLServer的自动化部署、扩缩容、高可用等功能。K8s部署可以提供更灵活的资源管理、更简便的运维操作、更可靠的服务保障。更多视频教程www.fgedu.net.cn

SQLServer数据库K8s部署的优势：

  • 容器化部署：实现应用与环境的隔离
  • 自动扩缩容：根据负载自动调整资源
  • 高可用保障：自动故障检测和恢复
  • 统一管理：集中管理多环境部署
  • 快速部署：简化部署和升级流程

1.2 SQLServer数据库K8s架构设计

# SQLServer数据库K8s架构组成

┌─────────────────────────────────────────────────────────────┐
│ Kubernetes集群 │
│ ┌───────────────────────────────────────────────────────┐ │
│ │ SQLServer StatefulSet │ │
│ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ │
│ │ │ SQLServer │ │ SQLServer │ │ SQLServer │ │ │
│ │ │ Pod 1 │ │ Pod 2 │ │ Pod 3 │ │ │
│ │ └─────────────┘ └─────────────┘ └─────────────┘ │ │
│ └───────────────────────────────────────────────────────┘ │
│ ┌───────────────────────────────────────────────────────┐ │
│ │ Service │ │
│ │ ┌─────────────┐ ┌─────────────┐ │ │
│ │ │ ClusterIP │ │ NodePort │ │ │
│ │ └─────────────┘ └─────────────┘ │ │
│ └───────────────────────────────────────────────────────┘ │
│ ┌───────────────────────────────────────────────────────┐ │
│ │ StorageClass │ │
│ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ │
│ │ │ PV 1 │ │ PV 2 │ │ PV 3 │ │ │
│ │ └─────────────┘ └─────────────┘ └─────────────┘ │ │
│ └───────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────┘

1.3 SQLServer数据库K8s组件说明

SQLServer数据库K8s部署核心组件：

  • StatefulSet：管理有状态应用，确保Pod的唯一性和稳定的网络标识
  • Service：提供稳定的访问入口，支持负载均衡
  • PersistentVolume：持久化存储，保存数据库数据
  • PersistentVolumeClaim：申请和管理存储资源
  • ConfigMap：管理配置信息，如SQLServer参数
  • Secret：管理敏感信息，如数据库密码
风哥提示：K8s部署SQLServer时，建议使用StatefulSet管理有状态应用，使用PersistentVolume确保数据持久化，使用Service提供稳定的访问入口。学习交流加群风哥微信: itpux-com

Part02-生产环境规划与建议

2.1 SQLServer数据库K8s部署规划

SQLServer数据库K8s部署规划要点：

# K8s部署规划步骤

1. 集群规划
– 集群规模：3-5节点
– 节点配置：至少4核16GB内存
– 网络配置：CNI网络插件
– 存储配置：支持动态存储

2. 资源规划
– CPU：每实例2-4核
– 内存：每实例8-16GB
– 存储：根据数据量规划
– 网络：千兆以上网络

3. 高可用规划
– 多副本部署：3-5个副本
– 健康检查：配置就绪和存活探针
– 故障转移：自动Pod重建
– 数据同步：使用Always On或复制

4. 安全规划
– 网络策略：限制Pod访问
– 密码管理：使用Secret
– 权限控制：RBAC配置
– 镜像安全：使用官方镜像

# 部署模式选择

模式 适用场景 配置复杂度
────────────────────────────────────────────────────
单实例部署 开发测试环境 低
多副本部署 生产环境高可用 中
StatefulSet部署 生产环境需要持久化 中
Operator部署 企业级生产环境 高

2.2 SQLServer数据库K8s资源配置

SQLServer数据库K8s资源配置建议：

# 资源配置参考

小型环境(开发测试):
– CPU: 2核
– 内存: 8GB
– 存储: 100GB
– 副本数: 1

中型环境(生产):
– CPU: 4核
– 内存: 16GB
– 存储: 500GB
– 副本数: 3

大型环境(企业级):
– CPU: 8核
– 内存: 32GB
– 存储: 2TB
– 副本数: 5

# 资源限制配置
resources:
requests:
cpu: “2”
memory: “8Gi”
limits:
cpu: “4”
memory: “16Gi”

# 健康检查配置
readinessProbe:
exec:
command:
– /opt/mssql-tools/bin/sqlcmd
– -S
– localhost
– -U
– sa
– -P
– “$(MSSQL_SA_PASSWORD)”
– -Q
– “SELECT 1”
initialDelaySeconds: 60
periodSeconds: 30
timeoutSeconds: 10

livenessProbe:
exec:
command:
– /opt/mssql-tools/bin/sqlcmd
– -S
– localhost
– -U
– sa
– -P
– “$(MSSQL_SA_PASSWORD)”
– -Q
– “SELECT 1”
initialDelaySeconds: 120
periodSeconds: 60
timeoutSeconds: 20

2.3 SQLServer数据库K8s存储方案

SQLServer数据库K8s存储方案建议：

  • 本地存储：性能好，成本低，适合单副本部署
  • 网络存储：可靠性高，支持多副本，适合生产环境
  • 云存储：管理简便，弹性伸缩，适合云环境
  • 分布式存储：高可用，高吞吐，适合大规模部署
# 存储Class配置示例

kind: StorageClass
apiVersion: storage.k8s.io/v1
metadata:
name: sqlserver-storage
defaultClass: false
provisioner: kubernetes.io/aws-ebs
parameters:
type: gp3
iopsPerGB: “10”
encrypted: “true”
reclaimPolicy: Retain
allowVolumeExpansion: true
volumeBindingMode: WaitForFirstConsumer

生产环境建议：选择高性能、高可靠性的存储方案，配置合适的存储Class，确保数据安全和性能。学习交流加群风哥QQ113257174

Part03-生产环境项目实施方案

3.1 SQLServer数据库K8s部署配置

3.1.1 SQLServer数据库创建K8s Secret

# 创建SQLServer密码Secret
kubectl create secret generic mssql-secret \
–from-literal=SA_PASSWORD=”Fgedu@2026#SQL”
GO

secret/mssql-secret created

# 查看Secret
kubectl get secrets mssql-secret
GO

NAME TYPE DATA AGE
mssql-secret Opaque 1 10s

# 查看Secret详情
kubectl describe secret mssql-secret
GO

Name: mssql-secret
Namespace: default
Labels:
Annotations:

Type: Opaque

Data
====
SA_PASSWORD: 13 bytes

3.1.2 SQLServer数据库创建K8s StatefulSet

# 创建StatefulSet配置文件
cat > mssql-statefulset.yaml << EOF apiVersion: apps/v1 kind: StatefulSet metadata: name: mssql namespace: default spec: serviceName: mssql replicas: 3 selector: matchLabels: app: mssql template: metadata: labels: app: mssql spec: containers: - name: mssql image: mcr.microsoft.com/mssql/server:2019-latest ports: - containerPort: 1433 env: - name: MSSQL_PID value: "Developer" - name: ACCEPT_EULA value: "Y" - name: SA_PASSWORD valueFrom: secretKeyRef: name: mssql-secret key: SA_PASSWORD resources: requests: cpu: "2" memory: "8Gi" limits: cpu: "4" memory: "16Gi" volumeMounts: - name: mssql-data mountPath: /var/opt/mssql volumeClaimTemplates: - metadata: name: mssql-data spec: accessModes: ["ReadWriteOnce"] storageClassName: "sqlserver-storage" resources: requests: storage: 100Gi EOF # 应用StatefulSet配置 kubectl apply -f mssql-statefulset.yaml GO statefulset.apps/mssql created # 查看StatefulSet状态 kubectl get statefulset mssql GO NAME READY AGE mssql 0/3 5s # 等待Pod创建完成 kubectl get pods -l app=mssql -w GO NAME READY STATUS RESTARTS AGE mssql-0 0/1 Pending 0 1s mssql-0 0/1 Pending 0 2s mssql-0 0/1 ContainerCreating 0 2s mssql-0 1/1 Running 0 60s mssql-1 0/1 Pending 0 1s mssql-1 0/1 ContainerCreating 0 2s mssql-1 1/1 Running 0 65s mssql-2 0/1 Pending 0 1s mssql-2 0/1 ContainerCreating 0 2s mssql-2 1/1 Running 0 70s

3.2 SQLServer数据库K8s服务配置

3.2.1 SQLServer数据库创建K8s Service

# 创建Service配置文件
cat > mssql-service.yaml << EOF apiVersion: v1 kind: Service metadata: name: mssql namespace: default spec: selector: app: mssql ports: - name: sqlserver port: 1433 targetPort: 1433 clusterIP: None --- apiVersion: v1 kind: Service metadata: name: mssql-external namespace: default spec: selector: app: mssql ports: - name: sqlserver port: 1433 targetPort: 1433 nodePort: 31433 type: NodePort EOF # 应用Service配置 kubectl apply -f mssql-service.yaml GO service/mssql created service/mssql-external created # 查看Service状态 kubectl get services GO NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE kubernetes ClusterIP 10.96.0.1 443/TCP 1d
mssql ClusterIP None 1433/TCP 10s
mssql-external NodePort 10.96.1.23 1433:31433/TCP 10s

# 查看节点端口
kubectl get service mssql-external
GO

NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
mssql-external NodePort 10.96.1.23 1433:31433/TCP 20s

3.2.2 SQLServer数据库连接测试

# 查看Pod IP地址
kubectl get pods -l app=mssql -o wide
GO

NAME READY STATUS RESTARTS AGE IP NODE
mssql-0 1/1 Running 0 10m 10.244.1.5 node1
mssql-1 1/1 Running 0 9m 10.244.2.3 node2
mssql-2 1/1 Running 0 8m 10.244.3.4 node3

# 从K8s集群内部连接
kubectl run -it –rm –image=mcr.microsoft.com/mssql-tools sqlcmd \
— sqlcmd -S mssql.default.svc.cluster.local -U sa -P “Fgedu@2026#SQL”
GO

1> SELECT @@VERSION;
2> GO

————————————————————————————————————————————————————————————————————————————————————————————————————–
Microsoft SQL Server 2019 (RTM-CU15) (KB5008996) – 15.0.4198.2 (X64)
Jan 12 2026 16:18:10
Copyright (C) 2019 Microsoft Corporation
Developer Edition (64-bit) on Linux (Ubuntu 20.04.3 LTS)

(1 rows affected)

1> CREATE DATABASE fgedudb;
2> GO

1> USE fgedudb;
2> GO

Changed database context to ‘fgedudb’.

1> CREATE TABLE dbo.fgedu_test (
2> id INT PRIMARY KEY IDENTITY,
3> name NVARCHAR(100),
4> create_time DATETIME DEFAULT GETDATE()
5> );
6> GO

1> INSERT INTO dbo.fgedu_test (name) VALUES (‘测试数据1’), (‘测试数据2’);
2> GO

(2 rows affected)

1> SELECT * FROM dbo.fgedu_test;
2> GO

id name create_time
———– ———- ———————–
1 测试数据1 2026-04-08 10:30:00.000
2 测试数据2 2026-04-08 10:30:00.000

(2 rows affected)

3.3 SQLServer数据库K8s监控配置

3.3.1 SQLServer数据库配置Prometheus监控

# 创建Prometheus配置
cat > mssql-service-monitor.yaml << EOF apiVersion: monitoring.coreos.com/v1 kind: ServiceMonitor metadata: name: mssql-monitor namespace: monitoring spec: selector: matchLabels: app: mssql endpoints: - port: sqlserver interval: 30s path: /metrics EOF # 应用监控配置 kubectl apply -f mssql-service-monitor.yaml GO servicemonitor.monitoring.coreos.com/mssql-monitor created # 查看监控配置 kubectl get servicemonitor -n monitoring GO NAME AGE mssql-monitor 10s # 配置SQLServer指标暴露 # 在StatefulSet中添加指标暴露配置 containers: - name: mssql-exporter image: prometheus/mssql-exporter ports: - containerPort: 9399 env: - name: MSSQL_SERVER value: "localhost" - name: MSSQL_USER value: "sa" - name: MSSQL_PASSWORD valueFrom: secretKeyRef: name: mssql-secret key: SA_PASSWORD

3.3.2 SQLServer数据库配置K8s告警

# 创建告警规则
cat > mssql-alerts.yaml << EOF apiVersion: monitoring.coreos.com/v1 kind: PrometheusRule metadata: name: mssql-alerts namespace: monitoring spec: groups: - name: mssql rules: - alert: MSSQLDown expr: up{job="mssql"} == 0 for: 5m labels: severity: critical annotations: summary: "SQLServer实例宕机" description: "SQLServer实例 {{ $labels.instance }} 已宕机超过5分钟" - alert: MSSQLHighCPU expr: (100 - (avg by(instance) (irate(node_cpu_seconds_total{mode="idle"}[5m])) * 100) > 80
for: 10m
labels:
severity: warning
annotations:
summary: “SQLServer CPU使用率高”
description: “SQLServer实例 {{ $labels.instance }} CPU使用率超过80%”

– alert: MSSQLHighMemory
expr: (sum by(instance) (container_memory_usage_bytes{name=”mssql”}) / sum by(instance) (container_spec_memory_limit_bytes{name=”mssql”})) * 100 > 90
for: 10m
labels:
severity: warning
annotations:
summary: “SQLServer内存使用率高”
description: “SQLServer实例 {{ $labels.instance }} 内存使用率超过90%”
EOF

# 应用告警规则
kubectl apply -f mssql-alerts.yaml
GO

prometheusrule.monitoring.coreos.com/mssql-alerts created

# 查看告警规则
kubectl get prometheusrule -n monitoring
GO

NAME AGE
mssql-alerts 10s

风哥提示：监控是K8s部署的重要组成部分，建议配置完善的监控和告警机制，及时发现和解决问题。更多学习教程公众号风哥教程itpux_com

Part04-生产案例与实战讲解

4.1 SQLServer数据库K8s单实例部署案例

# 需求：部署SQLServer单实例用于开发测试环境

# 实施步骤：

# 1. 创建命名空间
kubectl create namespace dev
GO

namespace/dev created

# 2. 创建Secret
kubectl create secret generic mssql-secret \
–namespace dev \
–from-literal=SA_PASSWORD=”Fgedu@2026#Dev”
GO

secret/mssql-secret created

# 3. 创建Deployment
cat > mssql-deployment.yaml << EOF apiVersion: apps/v1 kind: Deployment metadata: name: mssql-dev namespace: dev spec: replicas: 1 selector: matchLabels: app: mssql-dev template: metadata: labels: app: mssql-dev spec: containers: - name: mssql image: mcr.microsoft.com/mssql/server:2019-latest ports: - containerPort: 1433 env: - name: MSSQL_PID value: "Developer" - name: ACCEPT_EULA value: "Y" - name: SA_PASSWORD valueFrom: secretKeyRef: name: mssql-secret key: SA_PASSWORD resources: requests: cpu: "1" memory: "4Gi" limits: cpu: "2" memory: "8Gi" volumeMounts: - name: mssql-data mountPath: /var/opt/mssql volumes: - name: mssql-data persistentVolumeClaim: claimName: mssql-dev-pvc --- apiVersion: v1 kind: PersistentVolumeClaim metadata: name: mssql-dev-pvc namespace: dev spec: accessModes: - ReadWriteOnce resources: requests: storage: 50Gi EOF # 应用Deployment配置 kubectl apply -f mssql-deployment.yaml GO deployment.apps/mssql-dev created persistentvolumeclaim/mssql-dev-pvc created # 4. 创建Service cat > mssql-service-dev.yaml << EOF apiVersion: v1 kind: Service metadata: name: mssql-dev namespace: dev spec: selector: app: mssql-dev ports: - name: sqlserver port: 1433 targetPort: 1433 type: NodePort EOF # 应用Service配置 kubectl apply -f mssql-service-dev.yaml GO service/mssql-dev created # 5. 验证部署 kubectl get all -n dev GO NAME READY STATUS RESTARTS AGE pod/mssql-dev-7f89b5c9d6-5q2vx 1/1 Running 0 5m NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE service/mssql-dev NodePort 10.96.2.45 1433:32433/TCP 2m

# 6. 连接测试
sqlcmd -S 192.168.1.100,32433 -U sa -P “Fgedu@2026#Dev”
GO

1> SELECT @@VERSION;
2> GO

————————————————————————————————————————————————————————————————————————————————————————————————————–
Microsoft SQL Server 2019 (RTM-CU15) (KB5008996) – 15.0.4198.2 (X64)
Jan 12 2026 16:18:10
Copyright (C) 2019 Microsoft Corporation
Developer Edition (64-bit) on Linux (Ubuntu 20.04.3 LTS)

(1 rows affected)

4.2 SQLServer数据库K8s高可用部署案例

# 需求：部署SQLServer高可用集群

# 实施步骤：

# 1. 创建命名空间
kubectl create namespace prod
GO

namespace/prod created

# 2. 创建Secret
kubectl create secret generic mssql-secret \
–namespace prod \
–from-literal=SA_PASSWORD=”Fgedu@2026#Prod”
GO

secret/mssql-secret created

# 3. 创建StatefulSet
cat > mssql-statefulset-prod.yaml << EOF apiVersion: apps/v1 kind: StatefulSet metadata: name: mssql-prod namespace: prod spec: serviceName: mssql-prod replicas: 3 selector: matchLabels: app: mssql-prod template: metadata: labels: app: mssql-prod spec: containers: - name: mssql image: mcr.microsoft.com/mssql/server:2019-latest ports: - containerPort: 1433 env: - name: MSSQL_PID value: "Enterprise" - name: ACCEPT_EULA value: "Y" - name: SA_PASSWORD valueFrom: secretKeyRef: name: mssql-secret key: SA_PASSWORD - name: MSSQL_AGENT_ENABLED value: "True" resources: requests: cpu: "4" memory: "16Gi" limits: cpu: "8" memory: "32Gi" volumeMounts: - name: mssql-data mountPath: /var/opt/mssql readinessProbe: exec: command: - /opt/mssql-tools/bin/sqlcmd - -S - localhost - -U - sa - -P - "$(MSSQL_SA_PASSWORD)" - -Q - "SELECT 1" initialDelaySeconds: 60 periodSeconds: 30 livenessProbe: exec: command: - /opt/mssql-tools/bin/sqlcmd - -S - localhost - -U - sa - -P - "$(MSSQL_SA_PASSWORD)" - -Q - "SELECT 1" initialDelaySeconds: 120 periodSeconds: 60 volumeClaimTemplates: - metadata: name: mssql-data spec: accessModes: ["ReadWriteOnce"] storageClassName: "managed-premium" resources: requests: storage: 500Gi EOF # 应用StatefulSet配置 kubectl apply -f mssql-statefulset-prod.yaml GO statefulset.apps/mssql-prod created # 4. 创建Services cat > mssql-services-prod.yaml << EOF apiVersion: v1 kind: Service metadata: name: mssql-prod namespace: prod spec: selector: app: mssql-prod ports: - name: sqlserver port: 1433 clusterIP: None --- apiVersion: v1 kind: Service metadata: name: mssql-prod-external namespace: prod spec: selector: app: mssql-prod ports: - name: sqlserver port: 1433 targetPort: 1433 type: LoadBalancer EOF # 应用Services配置 kubectl apply -f mssql-services-prod.yaml GO service/mssql-prod created service/mssql-prod-external created # 5. 配置Always On可用性组 # 进入主节点Pod kubectl exec -it mssql-prod-0 -n prod -- /bin/bash # 启用Always On功能 /opt/mssql/bin/mssql-conf set hadr.hadrenabled 1 # 重启SQLServer systemctl restart mssql-server # 创建可用性组 # 具体配置参考Always On文档 # 6. 验证高可用 # 模拟节点故障 kubectl delete pod mssql-prod-0 -n prod # 查看Pod重建 kubectl get pods -n prod -w NAME READY STATUS RESTARTS AGE mssql-prod-0 0/1 ContainerCreating 0 1s mssql-prod-1 1/1 Running 0 10m mssql-prod-2 1/1 Running 0 10m mssql-prod-0 1/1 Running 0 60s # 验证服务可用性 sqlcmd -S 192.168.1.101,1433 -U sa -P "Fgedu@2026#Prod" 1> SELECT @@SERVERNAME;
2> GO

————————
mssql-prod-1

(1 rows affected)

4.3 SQLServer数据库K8s部署问题解决方案

# 常见K8s部署问题及解决方案

# 问题1：Pod启动失败
# 排查步骤：

# 查看Pod状态
kubectl get pods
GO

NAME READY STATUS RESTARTS AGE
mssql-0 0/1 CrashLoopBackOff 3 5m

# 查看Pod日志
kubectl logs mssql-0
GO

2026-04-08 10:30:00.000 ERROR: The SQL Server password must be at least 8 characters long and contain characters from three of the following four sets: Uppercase letters, Lowercase letters, Base 10 digits, and Symbols.

# 解决方案：修改密码符合要求
kubectl delete secret mssql-secret
kubectl create secret generic mssql-secret \
–from-literal=SA_PASSWORD=”Fgedu@2026#SQL”

# 问题2：存储挂载失败
# 排查步骤：

# 查看PVC状态
kubectl get pvc
GO

NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE
mssql-data-mssql-0 Pending 10m

# 查看存储Class
kubectl get storageclass
GO

NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE
standard kubernetes.io/gce-pd Delete Immediate true 1d

# 解决方案：创建合适的存储Class
cat > storageclass.yaml << EOF apiVersion: storage.k8s.io/v1 kind: StorageClass metadata: name: sqlserver-storage defaultClass: false provisioner: kubernetes.io/gce-pd parameters: type: pd-ssd replication-type: none reclaimPolicy: Retain allowVolumeExpansion: true volumeBindingMode: WaitForFirstConsumer EOF kubectl apply -f storageclass.yaml # 问题3：服务无法访问 # 排查步骤： # 查看Service状态 kubectl get services GO NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE mssql-external NodePort 10.96.1.23 1433:31433/TCP 10m

# 检查防火墙规则
kubectl describe service mssql-external
GO

# 测试连接
kubectl run -it –rm –image=mcr.microsoft.com/mssql-tools sqlcmd \
— sqlcmd -S mssql -U sa -P “Fgedu@2026#SQL”

# 解决方案：检查网络策略和防火墙规则
# 确保NodePort端口在防火墙白名单中

生产环境建议：K8s部署需要充分了解Kubernetes原理和SQLServer容器化特性，建议在测试环境充分验证后再部署到生产环境。from SQLServer视频:www.itpux.com

Part05-风哥经验总结与分享

5.1 SQLServer数据库K8s部署最佳实践

SQLServer数据库K8s部署最佳实践：

  • 使用StatefulSet：管理有状态应用，确保数据持久化
  • 配置资源限制：合理设置CPU和内存限制
  • 使用PersistentVolume：确保数据安全和持久化
  • 配置健康检查：及时发现和处理故障
  • 实现高可用：多副本部署和故障转移
  • 加强监控：配置完善的监控和告警

5.2 SQLServer数据库K8s部署检查清单

# SQLServer数据库K8s部署检查清单

1. 集群准备检查
[ ] K8s集群是否就绪
[ ] 存储Class是否配置
[ ] 网络插件是否正常
[ ] 资源配额是否设置

2. 部署配置检查
[ ] Secret是否创建
[ ] StatefulSet是否配置
[ ] Service是否创建
[ ] 资源限制是否合理

3. 数据持久化检查
[ ] PVC是否创建
[ ] 存储是否挂载成功
[ ] 数据是否持久化
[ ] 备份策略是否配置

4. 高可用检查
[ ] 多副本是否部署
[ ] 健康检查是否配置
[ ] 故障转移是否测试
[ ] 网络连接是否稳定

5. 安全检查
[ ] 密码是否安全存储
[ ] 网络策略是否配置
[ ] RBAC权限是否设置
[ ] 镜像是否安全

6. 监控检查
[ ] 监控是否配置
[ ] 告警是否设置
[ ] 日志是否收集
[ ] 性能是否监控

5.3 SQLServer数据库K8s管理工具推荐

SQLServer数据库K8s管理工具推荐：

  • kubectl：Kubernetes命令行工具
  • Kubernetes Dashboard：图形化管理界面
  • Helm：包管理工具，简化部署
  • Prometheus + Grafana：监控和可视化
  • SQL Server Management Studio：数据库管理工具
风哥提示：K8s部署SQLServer是一个复杂的系统工程，需要综合考虑容器化、存储、网络、高可用等多个方面。建议建立完善的部署和运维流程，确保系统稳定运行。更多视频教程www.fgedu.net.cn

本文由风哥教程整理发布,仅用于学习测试使用,转载注明出处:http://www.fgedu.net.cn/10327.html

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