Pattern Viewer An advanced log viewer and analyzer
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Pattern Viewer Description

Large volume of data can be overwhelming while analyzing log files. Pattern Viewer is a powerful application designed to reduce log complexity and provide faster problem resolution. Using generic column splitting techniques, rows can be split into columns, which can then be sorted and filtered. Review Exceptions by clicking on the exception column header. Using negative search groups, you can eliminate unwanted rows(noise) with one click. Compare grammar of log files using Patent Pending Pattern Variable Elimination Technique. Pattern Viewer can handle different file formats, and process large files at a very high speed. Notes and bookmarks are persisted in the file. Insert notes and bookmarks inline, save the file for future use or send it off to colleagues for more discussion. Note: In order to acces the software, you need to apply for a trial license. Main features: Detect Exceptions: Exceptions are detected automatically when the file is opened. You can view exceptions by clicking on the column header (+). Correlate Logs: Using patent pending techniques provided by pattern viewer, you can compare grammar of log files, eliminating variables such as dates, timestamps and ids. Insert Notes and Bookmarks: Notes and bookmarks are persisted in the file. Insert notes and bookmarks inline, save the file for future use or send it off to colleagues for more discussion. Handle different file formats: Using a generic column definition mechanism, rows are split into different columns. There is no need to provide the configuration file (e.g.: log4j.xml) Process large files at high speed: 32 bit version can handle file sizes up to one million lines with out compromising speed. Use 64 bit install for even bigger files. Search, Sort, & Highlight rows: Searches can be reused in multiple files. Search Groups can be used to eliminate noise (unwanted rows) from the file. Sort columns by clicking on the column header, Hide Column (Right click on column header), Filter and Delete Rows.

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