Services

Service intro
SV-Access
SV-Function
SV-Monitor 24/7
SV-Monitor new features
SV-Monitor Onsite
SV- Load
Why test?

e-Government Priority Service Outcome R25

24/7 Website Monitoring and Functionality Testing

SV-Monitor screen shots

Daily summary
Graphical View
User Journey Steps View
Errors View
Data Analysis View
Alerts History

Daily Summary View

View current status at a glance with the daily and weekly summary views

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Graphical View

Universal metrics for both commercial and technical teams

Gather real metrics to measure your end user's experience as they journey across the website by viewing page delivery results in real time or for any chosen time period. Move through time to view historic data using the timescale navigation bar located directly under the graph.

See instantly when errors, warnings and unacceptable journey times are occurring. To gather more information about suspect results, click anywhere on the graph to zoom into the timescale to drill down for more detail. To change the Y-axis maximum value either enter a figure manually or enter ‘Auto’ to autoscale.

Select standard views for 6 hourly/daily/weekly/monthly/6 monthly intervals or alternatively define your own time range with the ‘User’ button.

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User Journey Steps View

View results for each individual step of the user journey to establish at exactly what stage problems are occurring.

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Errors View

Understand just how well and how consistently your user journeys are performing by reviewing the number and percentage of: errors, warnings and page delivery times that exceed your own defined maximum cutoff - all available in the summary view. For more detail on individual problems a table outlining all errors is provided with information about exactly which components failed.

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Data Analysis View

To help you understand the metrics further, identify bottlenecks and evaluate the consistency of your end user's experience, basic data analysis is provided. This enables you to view max, min and average delivery times and file sizes for each step of the user journey at a glance. You can also review standard deviation and average page delivery times for any time interval , or simply download the raw data onto a spreadsheet .

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Alerts History

To review the number and type of alerts your team have been receiving, there is an alert log stating the time, date, type and method by which the alert was sent.

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