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Core Advantages

The Web module provides comprehensive observability support for Web applications through a complete user experience evaluation system, powerful performance metric collection capabilities, and multi-dimensional anomaly analysis capabilities.

Application Scoring System​

  • Supports a complete user experience scoring system
  • Supports customizing scoring weights based on business goals (such as performance vs. stability vs. availability)
  • Application scoring can be linked with metrics such as error rates and loading times, used for version release evaluation or quality alerts

Page Analysis​

  • Supports page-level user experience evaluation, including Core Web Vitals metrics:
    • FCP (First Contentful Paint)
    • LCP (Largest Contentful Paint)
    • CLS (Cumulative Layout Shift)
    • FID (First Input Delay)
    • TTI (Time to Interactive)
    • TBT (Total Blocking Time)
    • DCL (DOM Content Loaded)
  • Supports geographical analysis at the page dimension, evaluating user experience differences across regions
  • Page-level waterfall chart analysis: visualizes resource loading process, identifies page performance bottlenecks
  • Single sample details:
    • Supports viewing individual user loading process
    • Includes waterfall charts, error resource identification, resource type statistics, and other views
    • Suitable for first-screen optimization, critical path analysis, and performance anomaly location

Blank Screen Analysis​

  • Supports automatic identification of "blank screen scenarios", determining whether a page truly experiences a blank screen
  • Statistics on affected users, browser types, devices, and other multi-dimensional impact factors
  • Can be associated with resource loss, script errors, and other causes during page loading
  • Suitable for core page experience assurance and blank screen problem alerts

Operation Analysis​

  • Supports performance evaluation of user operations (such as clicking, sliding, input, etc.)
  • Able to locate the root cause of specific slow operations
  • Supports single sample analysis of operations:
    • Associates complete context including pages, requests, resource loading, JS errors, etc.
    • Enables end-to-end full-site tracing capability
  • Suitable for optimizing conversion processes and improving user interaction fluidity

Dimension Analysis Capabilities​

Supports aggregation, filtering, and comparative analysis with the following key dimensions as entry points:

  • Geography (country, province, city)
  • Browser type and version
  • Operating system
  • Network type
  • Page path / Request path

Request Analysis​

  • Supports viewing key metrics such as request time consumption, error rate, response distribution, etc.
  • Request and user association:
    • Can view how many users are affected by specific requests
    • Supports tracing to view request failure context from individual user dimension
  • Supports request-level anomaly trends, slow interface identification, and interface attribution analysis

JS Error Analysis​

  • Supports collecting JS errors and automatic categorization
  • JS errors support single sample analysis, precise to code location and triggering context
  • Supports parsing JS error stacks, automatically aggregating error types and paths
  • Supports analyzing metadata information attached to errors (such as business ID, user information, etc.)

User Tracking Capability​

  • Supports full-link tracking of usage process through user ID / session ID
  • Can view all behavioral trajectories including user page visits, requests generated, errors occurred, etc.
  • Supports exporting anomaly samples, viewing video playback (if configuration is enabled)
  • Suitable for user complaint backtracking, personalized problem location, and targeted optimization

Business Modularization Support​

  • Supports configuring "business module" dimensions, attributing pages, requests, operations, and other behaviors to business function domains
  • Supports performance and anomaly attribution analysis by module
  • Applicable to functional zone management and quality responsibility division of large-scale systems