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The 15 Most Common Web Server Tags and Real-Time Alerts

  • The 15 Most Common Web Server Tags and Real-Time Alerts-

    Exceptions and Errors

    When a Web server sits on top of a Web application or similar, there is always a possibility that the system might send back "Error" or "Exception" in the results. By monitoring for these keywords in outgoing logs, you can quickly catch issues in the underlying system and react proactively instead of waiting for customers to contact you.

    "\" ERROR \" OR /Exception/i"

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The 15 Most Common Web Server Tags and Real-Time Alerts

  • 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18
  • The 15 Most Common Web Server Tags and Real-Time Alerts-5

    Exceptions and Errors

    When a Web server sits on top of a Web application or similar, there is always a possibility that the system might send back "Error" or "Exception" in the results. By monitoring for these keywords in outgoing logs, you can quickly catch issues in the underlying system and react proactively instead of waiting for customers to contact you.

    "\" ERROR \" OR /Exception/i"

Log data is becoming an increasingly important indicator of companies' application, IT and overall business health. It is the go-to data when things go wrong.

More than ever before, companies are turning to logs to proactively troubleshoot in development, support real-time performance-monitoring efforts, analyze user behavior and assure security compliance. Based on Logentries' 25,000 global users who are actively analyzing and tagging critical log events in real time, the top tags fall into three critical categories: organization-wide exceptions (e.g., general browser and server issues); security-related tags (e.g., tracking SQL injection attempts to block breaches); and specific, application-level server exceptions.

In this slide show, Logentries Chief Scientist Dr. Trevor Parsons shares perspective on the 15 most common Web server tags and real-time alerts so any company can quickly start classifying log data and proactively identify common issues.