Hi AEM community,
I have made a tool and wanted to share it with you:
The Request Log Analyzer gives you some performance metrics from the request.log of an AEM instance.
https://github.com/pixelistik/request_log_analyzer
It is a command line tool that covers two different use cases:
A customer calls and says that the website is much slower than last week?
Quickly analyze today's request.log and an older one and get some key statistics about the reponse times of your instance:
$ request_log_analyzer crx-quickstart/logs/request.log
count: 54510
time.avg: 127
time.min: 1
time.median: 6
time.90percent: 27
time.max: 15747
error.client_error_4xx_rate: 0.023
error.server_error_5xx_rate: 0.0002
$ request_log_analyzer crx-quickstart/logs/request.log.2017-10-15
count: 44302
time.avg: 131
time.min: 3
time.median: 12
time.90percent: 31
time.max: 14712
error.client_error_4xx_rate: 0.01
error.server_error_5xx_rate: 0.0001
If you would like to permanently keep an eye on the response times of your instance, the Request Log Analyzer can constantly feed the statistics into your metrics store (supported are Graphite, Prometheus, and InfluxDB).
Check the README on Github for more details.
Let me know if this is useful for you and feel free to suggest improvements, either here or on Github!
rlog.jar simply lists the slowest responses. This may be helpful for fixing some individual slow routes, but does not give you an overall performance overview with statistics like median response time or 90th percentile response time.
The Rust Programming Language Rust is made for fast and safe system tools, so it seems like a good choice. Plus, I really wanted to learn it.
This is really good share with the community. Thank a lot.
~kautuk
+1 thanks for the great work! I will try it out
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I once created this tool to visualize request logs: cq5-utils/scripts/request.log at master · joerghoh/cq5-utils · GitHub
It creates output which you can feed directly into gnuplot to create nice graphs.
Jörg
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