Chapter 15

Managing Auditing, Monitoring, and Analytics

IN THIS CHAPTER, YOU WILL LEARN TO:

  • MANAGE AUDITING AND AUDIT REPORTS
    • Configuring Site Collection Auditing
    • Managing Audit Log Growth and Size
    • Viewing Audit Reports
  • CONFIGURE WEB ANALYTICS REPORTING
    • Configuring Web Analytics
    • Viewing Analytics Reports
  • USE THE HEALTH ANALYZER
    • Reviewing Problems and Solutions
    • Reviewing Rule Definitions
  • CONFIGURE DIAGNOSTIC LOGGING
    • Working with the Event Log
    • Working with the Trace Log
    • Configuring Diagnostic Logging Settings
  • MANAGE TIMER JOBS
    • Viewing Timer Jobs
    • Running a Timer Job
    • Managing Timer Job Schedules

In any system that stores important and sometimes sensitive information, it is necessary to be able to track activity and report on user actions. This information may be required to identify a violation or simply to validate that documents meet a compliance requirement. In this chapter, we’ll explain how SharePoint 2010 auditing meets this need.

Another key aspect of running any web system is to understand the number of people who are using it and what they are using it for. These reports can be used to identify patterns of high and low usage and growth trends in the system. We’ll examine the usage analysis reporting features of SharePoint 2010 that provide this information.

An important part of maintaining a successful SharePoint server farm is to identify problems and issues before they occur. We will introduce you to a sophisticated health monitoring system in SharePoint 2010 that provides rule-based analysis of potential problems. When problems do occur, it is essential to be able to quickly obtain detailed information about them. In this chapter, we will explore how to use the diagnostic logging feature of SharePoint 2010 to identify problems and track them to their source.

All of the monitoring features in this chapter, and many of the features described throughout this book, depend on scheduled timer jobs to gather and process data. We’ll look at how to manage the frequency of these timer jobs and how to execute them manually when needed.

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