Categorization

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Overview

Germain categorizes data and events into meaningful groups, making it easier to spot new issues in large volumes of occurrences. This is useful for detecting previously unseen code exceptions or application crashes, especially when they span multiple data sources (for example, binary and text files). System administrators can quickly identify crashes or exceptions that haven’t occurred before and focus on issues that need immediate attention. This proactive approach reduces impact on system performance and user experience.

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In summary

In summary, Germain’s categorization features significantly enhance error management by helping system administrators: These capabilities streamline the troubleshooting process, leading to faster resolution and improved overall system stability.

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AI-Generated Labels for Scripted Categorization

GermainUX now supports AI-generated labels for data categorization when High-Volume data Categorization is required e.g. JavaScript console events. Data is categorized through custom scripts (existing categorization mechanism) that are performant at scale. New labels for these categories can be AI-generated to make them human-readable, improving clarity and reducing manual effort.

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AI-Driven Fact Categorization

GermainUX’s fact categorization also supports categorization utilizing one of several LLMs (Large Language Model) most used when Low-Volume Datais involved e.g. User Feedback. GermainUX’s AI service handles the entire categorization process. It uses a customizable prompt to classify and update each fact accordingly.

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Examples

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Java Exception Categorization

For Java applications, Germain analyzes the full “path” of an exception or failure to differentiate between new and recurring issues. While most APMs simply log another NullPointerException, Germain distinguishes between instances such as: This granularity is essential for managing errors effectively, especially at scale. Examples: Java Exceptiondetected by GermainUX:

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Javascript Error Categorization

For web applications built with frameworks like Angular, React, etc., Germain identifies new error types and evaluates their business impact. Unlike most APMs that just report another generic Uncaught TypeError, Germain differentiates between issues like: This precision helps teams locate and resolve problems more effectively.

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Examples: JavaScript Errordetected by GermainUX

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Siebel CRM Object Manager Crash Categorization

For Siebel CRM, analyzing an Object Manager (OM) crash may require parsing several files, including: Germain streamlines this process by categorizing hundreds of OM crash events into digestible, actionable insights.

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Example

A portlet showcasing categorization results for hundreds of Siebel OM crashes.

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Additional Resources

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The content of this document is proprietary to GERMAIN SOFTWARE.