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Foglight APM for Real User Experience 5.9.9 - User Guide

Getting started with Foglight APM Monitoring transactions Viewing real user activity from a geographical perspective Assessing real user experiences during key sequences Monitoring the performance of web sites and endpoints Searching APM data Replaying sessions, hits, and sequences Visualizing search results Creating custom drag-and-drop dashboards APM tile and view reference

Investigating issues reported during real user sessions

Finding the user session

Time period—find out the time period during which the session was active, or find out when the user started or ended their session.
Session identifier—if a user’s browser captures the session identifier, instruct the user how to retrieve that identifier.
User name—for applications that require a login, request the user’s user name.
Client IP address—for an internal application, request the user’s client IP address.
Subnet—for an intranet application, find out the subnet used by the application.
City—if no other identifying details are known, you may need to search sessions by the user’s city.
Page visited before starting session—this information can be useful for picking the correct session out of a list of session search results. You can look at the Initial Referer column to find the page the user visited before beginning the session.
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Click Simple Search.
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Click Search.

Investigating issues

Status—look for icons other than the Normal icon. A hit can be set to a non-normal status due to a client or browser error code or when the hit matched some set of conditions defined within a hit analyzer. APM Administrators define and manage hit analyzers.
Code—look for client error codes (400+) or server error codes (500+). Remember though that Web 2.0 applications may not return error codes, because they redirect users to a helpful error page rather than a generic error page. In this case, you need to rely on analyzers catching the errors and setting the hit status to non-normal.
End-to-End Time—very high end-to-end times may indicate a problem with the amount of content on a page or a very slow web server.
Back End Time—very high back end times may indicate a problem with the web server.
Exception—any exceptions should be reported to the application developer.

Searching and investigating sequences

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