What is JazzMon and how can I use it to analyze Jazz server traffic ?
There's been a recent article on JazzMon for recording and analyzing Jazz server traffic - what is it and where can you get it ?
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Accepted answer
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What is JazzMon ?
JazzMon is a new tool that helps you make more sense out of Jazz server traffic patterns based on webservice reports. It takes a series of snapshots then turns them into time trend spreadsheets so you can sort, filter, recombine, and graph the data to actually see what sort of traffic is hitting your server day by day and week by week. For more details see https://jazz.net/library/article/822 ("JazzMon - Seeing what your server is up to"). Where can I get JazzMon ?
JazzMon can be downloaded at https://jazz.net/wiki/bin/view/Main/JazzMon (attachments at bottom of page). The package includes all you need to get started including documentation and release notes. It is in two versions - RTC3.0 based (RTC3.x and RTC 4.x) and RTC 2.0.0.2GA based (RTC 2.x).
Where do I ask questions about JazzMon ?
Use the Jazz.net forums and the tag "jazzmon" to ask questions about how to use JazzMon and interpret the data it provides. A list of Frequently Asked Questions (FAQ) is also maintained on the JazzMon wiki page (https://jazz.net/wiki/bin/view/Main/JazzMon). Seth Packham selected this answer as the correct answer
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2 other answers
cool.. thanks for the nice forum post and suggestion to use Jazzmon tag..
Sam |
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JazzMon 1.3.0 has just been released and addresses a number of user reported issues to improve usability and productivity. See https://jazz.net/wiki/bin/view/Main/JazzMon to download the latest version.
1. JazzMon now outputs comma separated CSV files which are easily read directly into Excel and Symphony without having to use the Import Wizard. 2. Output files now include a number of formula columns to automatically provide commonly used sort keys to quickly find the most interesting web services or asynchronous tasks: Totals, Maximum value, Average value, and ratio of average to baseline average 3. Average data (elapse time average, etc) values are now computed for each time interval based on total time and counts for that interval rather than using the cumulative averages originally reported by the server. This better shows user performance experience. 4. Extraneous output files have been eliminated to reduce confusion. 5. Property defaults have been adjusted to be in line with the FAQ recommendations. |
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