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flashduty/en/2. RUM/2. Applications/4. Analysis Dashboard.md

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@@ -35,7 +35,7 @@ The performance analysis module focuses on full-chain monitoring of application
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- **XHR and Fetch Requests**: Analyze the loading performance of XHR and Fetch interfaces to locate slow interfaces.
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- **Static Resources**: Analyze the loading time of static resources to identify performance bottlenecks during application loading.
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For more information about the displayed data, see [Data Collection][https://docs.flashcat.cloud/en/flashduty/rum/data-collection?nav=01JCQ7A4N4WRWNXW8EWEHXCMF5].
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For more information about the displayed data, see [Data Collection](https://docs.flashcat.cloud/en/flashduty/rum/data-collection).
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### 3. Error Analysis — Fast Location and Diagnosis of Errors
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The error analysis module provides you with comprehensive error monitoring and diagnostic capabilities, including:
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- **Page Error Rate**: Pages with the most errors, helping you identify which pages need priority attention.
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- **Top Issues**: Ranking of issues affecting the most users, helping you identify problems that need priority attention. If you need to understand the issue grouping strategy, check [Error Grouping](/flashduty/en/2.%20RUM/4.%20Error%20Tracking/5.%20Error%20Grouping.md).
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- **Top Issues**: Ranking of issues affecting the most users, helping you identify problems that need priority attention. If you need to understand the issue grouping strategy, check [Error Grouping](https://docs.flashcat.cloud/en/flashduty/rum/error-grouping?nav=01JCQ7A4N4WRWNXW8EWEHXCMF5).
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- **Code Errors**: Categorized display of error types. If you need to dig deeper, refer to Error Tracking to investigate critical frontend errors and understand when new errors appear.
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- **API and Resource Errors**: Monitor which APIs and static resources produce the most errors.
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flashduty/zh/2. RUM/2. 应用管理/4. 分析看板.md

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@@ -35,7 +35,7 @@ Flashduty RUM 分析看板提供了开箱即用的可视化仪表板,自动采
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- **XHR 和 Fetch 请求**:分析 XHR 和 Fetch 接口的加载性能,定位慢接口。
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- **静态资源**:分析静态资源的加载耗时,定位应用加载时的性能瓶颈。
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有关显示数据的更多信息,请参阅[RUM 浏览器数据收集][https://docs.flashcat.cloud/zh/flashduty/rum/data-collection]
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有关显示数据的更多信息,请参阅[RUM 浏览器数据收集](https://docs.flashcat.cloud/zh/flashduty/rum/data-collection)
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### 3. 异常分析 — 快速定位与诊断错误
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异常分析模块为您提供全方位的错误监控与诊断能力,它的主要内容有:
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- **页面错误率**:发生错误最多的页面,帮助您定位优先需要关注的页面。
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- **热门 issue**:影响用户最多的 issue 排行,帮助您定位优先关注的问题。如果您需要了解 issue 聚合策略,可以查看[错误聚合](/flashduty/zh/2.%20RUM/4.%20异常追踪/5.%20错误聚合.md)
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- **热门 issue**:影响用户最多的 issue 排行,帮助您定位优先关注的问题。如果您需要了解 issue 聚合策略,可以查看[异常聚合](https://docs.flashcat.cloud/zh/flashduty/rum/error-grouping)
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- **代码错误**:分类展示错误类型。如果您需要深入挖掘,请参阅错误跟踪以调查关键的前端错误并了解新错误何时出现。
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- **接口和资源错误**:监控哪些接口和静态资源产生的错误最多。
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### 如何采集用户信息
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1. **登录态用户识别**:对于需要用户登录的应用(如 SaaS 产品、会员系统、电商平台等),您可以参考[用户标识采集](https://docs.flashcat.cloud/zh/flashduty/rum/advanced-configuration#用户会话)
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1. **登录态用户识别**:对于需要用户登录的应用(如 SaaS 产品、会员系统、电商平台等),您可以参考[用户标识采集](https://docs.flashcat.cloud/zh/flashduty/rum/advanced-configuration#%E7%94%A8%E6%88%B7%E4%BC%9A%E8%AF%9D)
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2. **设备指纹识别**:对于无登录态的应用(如企业官网、营销页面、公开内容平台等),推荐您基于浏览器特征、设备信息等多维数据生成稳定的指纹并上报用户标识

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