zeabur-service-metric

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Zeabur Service Metrics

Always use
npx zeabur@latest
to invoke Zeabur CLI. Never use
zeabur
directly or any other installation method. If
npx
is not available, install Node.js first.

请始终使用
npx zeabur@latest
调用Zeabur CLI。切勿直接使用
zeabur
或其他任何安装方式。如果无法使用
npx
，请先安装Node.js。

Check Metrics

查看指标

bash

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bash

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CPU usage

npx zeabur@latest service metric CPU --id <service-id> -i=false

Memory usage

npx zeabur@latest service metric MEMORY --id <service-id> -i=false

Network I/O

npx zeabur@latest service metric NETWORK --id <service-id> -i=false


Use `--hour <N>` to change the time window (default: 2 hours):

```bash
npx zeabur@latest service metric CPU --id <service-id> --hour 24 -i=false

npx zeabur@latest service metric NETWORK --id <service-id> -i=false


使用 `--hour <N>` 来更改时间窗口（默认值：2小时）：

```bash
npx zeabur@latest service metric CPU --id <service-id> --hour 24 -i=false

Diagnostic Workflow

诊断流程

When a user reports a slow or unresponsive service, check metrics before restarting:

bash

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当用户反馈服务运行缓慢或无响应时，请先检查指标再重启：

bash

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1. Get service ID (use the

zeabur-service-list

skill)

1. 获取服务ID（使用

zeabur-service-list

技能）

npx zeabur@latest service list --project-id <project-id> -i=false

2. Check CPU — is the service compute-bound?

2. 检查CPU —— 服务是否受计算资源限制？

npx zeabur@latest service metric CPU --id <service-id> -i=false

3. Check memory — is the service running out of RAM?

3. 检查内存 —— 服务是否内存不足？

npx zeabur@latest service metric MEMORY --id <service-id> -i=false

4. Check network — is there unusual traffic?

4. 检查网络 —— 是否存在异常流量？

npx zeabur@latest service metric NETWORK --id <service-id> -i=false

5. Check logs for errors (use the

zeabur-deployment-logs

skill for details)

5. 检查日志中的错误详情（使用

zeabur-deployment-logs

技能）

npx zeabur@latest deployment log --id <service-id> -i=false


**Then decide the action based on evidence:**

| Symptom | Likely cause | Action |
|---------|-------------|--------|
| CPU consistently near 100% | Compute-bound workload | Upgrade plan or optimize code |
| Memory climbing until OOM | Memory leak or undersized plan | Restart with `zeabur-restart` skill (temporary) + fix leak |
| Network spikes | Traffic surge or external API issues | Check logs for request patterns |
| All metrics normal | Application-level bug | Check deployment logs |

npx zeabur@latest deployment log --id <service-id> -i=false


**然后根据检查结果决定操作：**

| 症状 | 可能原因 | 操作 |
|---------|-------------|--------|
| CPU持续接近100% | 计算密集型工作负载 | 升级方案或优化代码 |
| 内存持续攀升直至耗尽（OOM） | 内存泄漏或资源方案配置不足 | 使用`zeabur-restart`技能重启（临时解决）+ 修复内存泄漏 |
| 网络流量突增 | 流量激增或外部API问题 | 检查日志中的请求模式 |
| 所有指标正常 | 应用层面的bug | 检查部署日志 |

zeabur-service-metric

Original

Translation

Zeabur Service Metrics

Zeabur Service Metrics

Check Metrics

查看指标

CPU usage

CPU usage

Memory usage

Memory usage

Network I/O

Network I/O

Diagnostic Workflow

诊断流程

1. Get service ID (use the
`zeabur-service-list`
skill)

1. 获取服务ID（使用
`zeabur-service-list`
技能）

2. Check CPU — is the service compute-bound?

2. 检查CPU —— 服务是否受计算资源限制？

3. Check memory — is the service running out of RAM?

3. 检查内存 —— 服务是否内存不足？

4. Check network — is there unusual traffic?

4. 检查网络 —— 是否存在异常流量？

5. Check logs for errors (use the
`zeabur-deployment-logs`
skill for details)

5. 检查日志中的错误详情（使用
`zeabur-deployment-logs`
技能）