Extended Reporting report | Shows | Use to |
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Application Availability Analysis
| - Application traffic volume in pages
- Page availability
- Error categories (network, client, server, application, content, and custom)
- Top 25 pages with worst availability
| - Analyze distribution of errors over time for every page in a web application
- Identify groups of pages with the most traffic
- Detect deviation from acceptable thresholds
- Make capacity-planning or staffing decisions necessary to minimize system downtime
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Application Performance Analysis
| - Application traffic volume in pages
- Performance—Pages with Service Level Threshold (SLT) violations
- Elements of latency (host time, network time, redirect time, SSL time, and idle time)
- Top 25 pages with worst performance
| - Ensure that your most important web applications are being delivered to customers with as little delay as possible
- Identify worst-performing pages per application
- Review latency metrics and an overall end-to-end delivery-time metric
- Understand which infrastructure pieces are most in need of optimization so you can improve the customer experience
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Application Problem Analysis
| - Application traffic volume in pages
- Performance and availability (pages without issues, slow pages, and pages with errors)
- Error categories (network, client, server, application, content, and custom)
- Elements of latency (host time, network time, redirect time, SSL time, and idle time)
| - Investigate both availability errors and performance issues
- Assess page-request volume, error types, and sources of latency
- Obtain detailed information over a chosen time period
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Application Service Level Summary
| - Application traffic volume in pages
- Performance (pages with SLT violations)
- Availability (pages with and without errors)
| - Assess the basic performance and availability service-level threshold (SLT) attainment levels for a single application
- Determine the time of day when performance tends to degrade most and availability failures are most common
- Make decisions about how to adapt your infrastructure to manage the highest traffic periods
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Page Availability Analysis
| - Availability of most popular pages
- Availability of pages with worse availability
| - Assess the number of network, client, server, application, content, and custom errors
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Page Performance Analysis
| - Performance of most popular pages
- Details of pages with worst performance
| - View metrics for comparison over time (end-to-end time, host time, and network time) to reveal day-to-day variations in your web applications
- Compare the performance of common pages across various applications
- Assess the performance of infrastructure changes or deployed optimization technologies
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Application Analysis by Server
| - Volume distribution by server
- Percentage of performance, availability, and host time for each server
| - Locate servers with the most traffic and their effects on volume, performance and quality over the whole application
- Find uneven traffic distribution by servers
- Find whether a server abnormally affects the performance, availability, or host time
- Find whether a server provides bad quality to more than one application
- Focus on important servers while filtering out low volume servers
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Application Change Impact Analysis
| - KPI metrics at the application level for the evaluated period
- Changes in KPI for the evaluated period compared to the baseline period
- Specific pages breakdown
- Changes in KPI for the evaluated period compared to the baseline period
- Host time of the pages
- Volume ratio compared to overall application
| - Compare and analyze application metrics for two selected time periods
- View KPI impact at the application level
- View KPI impact for top pages (by page volume)
- View KPI impact for a list of specific pages (for example, important pages or pages that have changed)
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