华为 S5735 性能监控：CPU/内存/端口流量查看命令合集

一、华为 S5735 性能监控概述：掌握设备运行状态的核心方法

1.1 监控的重要性与常见指标

华为 S5735 作为企业级交换机，其性能监控是网络运维的核心任务。通过实时监控 CPU、内存和端口流量等关键指标，可以及时发现设备负载过高、内存泄漏或网络拥塞等问题，确保网络稳定运行。

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图 1 显示了华为 S5735 监控指标的分布情况，其中 CPU、内存和端口流量是最需要关注的三个核心指标。

1.2 常用监控命令概览

华为 S5735 提供了丰富的命令行工具用于性能监控，主要包括 display cpu-usage、display memory 和 display interface 等系列命令。这些命令可以帮助管理员全面了解设备运行状态。

二、CPU 性能监控：诊断设备负载瓶颈

2.1 CPU 使用率查看命令

使用 display cpu-usage 命令可以查看设备的 CPU 使用情况，包括 5 秒、1 分钟和 5 分钟的平均使用率。

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进入系统视图

执行 display cpu-usage 命令

查看 CPU 使用率数据

分析 5s/1min/5min 平均值

判断是否超过阈值

排查高负载进程

继续监控

图 2 展示了 CPU 使用率查看的完整流程，通过该流程可以快速定位 CPU 负载问题。

2.2 CPU 占用进程分析

当 CPU 使用率过高时，可以使用 display cpu-usage process 命令查看具体进程的 CPU 占用情况，帮助定位问题根源。

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circle,#publish-mermaid-2-1793184825947 line{fill:#ECECFF;stroke-width:2px;}#publish-mermaid-2-1793184825947 g rect.rect{filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));stroke:#9370DB;}#publish-mermaid-2-1793184825947 .node .neo-node{stroke:#9370DB;}#publish-mermaid-2-1793184825947 [data-look=\”neo\”].node rect,#publish-mermaid-2-1793184825947 [data-look=\”neo\”].cluster rect,#publish-mermaid-2-1793184825947 [data-look=\”neo\”].node polygon{stroke:#9370DB;filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#publish-mermaid-2-1793184825947 [data-look=\”neo\”].swimlane.cluster rect{filter:none;}#publish-mermaid-2-1793184825947 [data-look=\”neo\”].node path{stroke:#9370DB;stroke-width:1px;}#publish-mermaid-2-1793184825947 [data-look=\”neo\”].node .outer-path{filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#publish-mermaid-2-1793184825947 [data-look=\”neo\”].node .neo-line path{stroke:#9370DB;filter:none;}#publish-mermaid-2-1793184825947 [data-look=\”neo\”].node 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图 3 显示了 CPU 占用进程分析的交互流程，通过该流程可以有效地处理高 CPU 占用问题。

2.3 CPU 阈值与告警设置

华为 S5735 支持设置 CPU 使用率阈值，当超过设定值时触发告警。可以使用 snmp-agent sys-info version all 命令配置 SNMP 告警。

三、内存性能监控：确保系统稳定运行

3.1 内存使用情况查看

使用 display memory 命令可以查看设备的内存使用情况，包括总内存、已用内存和可用内存等详细信息。

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[data-look=\”neo\”].icon-shape .icon-neo path{stroke:#9370DB;filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#publish-mermaid-3-1793184826557 :root{–mermaid-font-family:\”trebuchet ms\”,verdana,arial,sans-serif;}执行 display memory检查总内存/已用内存对比阈值内存正常内存不足

初始状态

查看内存状态

分析内存使用

判断内存状况

内存优化

图 4 展示了内存监控的状态流程，帮助管理员系统地分析内存使用情况。

3.2 内存泄漏检测方法

通过定期监控内存使用情况，可以检测是否存在内存泄漏问题。如果内存使用率持续上升，可能存在内存泄漏。

3.3 内存优化策略

当内存使用率过高时，可以考虑重启相关进程或升级设备内存来解决问题。

四、端口流量监控：分析网络数据传输

4.1 端口流量实时监控

使用 display interface 命令可以查看端口的实时流量情况，包括输入输出速率、丢包率等指标。

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进入接口视图

执行 display interface 命令

查看端口流量数据

分析输入输出速率

检查丢包率

判断端口健康状况

图 5 展示了端口流量监控的流程，通过该流程可以全面了解端口运行状态。

4.2 流量统计与分析

使用 display interface statistics 命令可以查看端口的流量统计信息，包括收发包数量、字节数等。

4.3 流量异常检测

当端口流量出现异常波动时，可能存在网络攻击或配置问题，需要及时排查。

五、综合监控方案：构建完整的性能监控体系

5.1 自动化监控脚本编写

可以编写 Shell 脚本自动化收集性能数据，定期生成报告。

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circle{stroke:#9370DB;filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#publish-mermaid-5-1793184826902 [data-look=\”neo\”].node circle .state-start{fill:#000000;}#publish-mermaid-5-1793184826902 [data-look=\”neo\”].icon-shape .icon{fill:#9370DB;filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#publish-mermaid-5-1793184826902 [data-look=\”neo\”].icon-shape .icon-neo path{stroke:#9370DB;filter:drop-shadow(1px 2px 2px rgba(185, 185, 185, 1));}#publish-mermaid-5-1793184826902 :root{–mermaid-font-family:\”trebuchet ms\”,verdana,arial,sans-serif;}执行 display cpu-usage返回 CPU 数据执行 display memory返回内存数据执行 display interface返回端口数据写入监控报告

图 6 展示了自动化监控脚本的执行流程，提高监控效率。

5.2 监控数据可视化

使用 Grafana 等工具将收集到的性能数据可视化，便于直观分析。

5.3 故障诊断流程

建立标准化的故障诊断流程，快速响应性能问题。

六、实战案例：常见问题排查与解决

6.1 CPU 过高问题排查

当 CPU 使用率持续高于 80% 时，需要排查高负载进程并采取相应措施。

6.2 内存不足问题解决

内存不足时，可以考虑清理缓存或升级设备内存。

6.3 端口流量异常处理

端口流量异常时，检查是否存在网络攻击或配置错误。

七、最佳实践：提升监控效率的技巧

7.1 定期监控与日志分析

建立定期监控机制，结合日志分析全面掌握设备状态。

7.2 性能优化建议

根据监控结果，及时调整设备配置，优化性能。

7.3 监控工具推荐

推荐使用 Zabbix、Prometheus 等专业监控工具，提升监控效率。