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A command line tool written for the application process of datadog.

HTTP log monitoring console program

Create a simple console program that monitors HTTP traffic on your machine:

  • Consume an actively written-to w3c-formatted HTTP access log
  • Every 10s, display in the console the sections of the web site with the most hits (a section is defined as being what's before the second '/' in a URL. i.e. the section for "http://my.site.com/pages/create' is ""http://my.site.com/pages"), as well as interesting summary statistics on the traffic as a whole.
  • Make sure a user can keep the console app running and monitor traffic on their machine
  • Whenever total traffic for the past 2 minutes exceeds a certain number on average, add a message saying that “High traffic generated an alert - hits = {value}, triggered at {time}”
  • Whenever the total traffic drops again below that value on average for the past 2 minutes, add another message detailing when the alert recovered
  • Make sure all messages showing when alerting thresholds are crossed remain visible on the page for historical reasons.
  • Write a test for the alerting logic
  • Explain how you’d improve on this application design

How to use it

The main program is logMonitor.py. It only require python 3. You launch it with :

$.\logMonitor.py [-h] [-t threshold] (a list of log files to watch)

Once launched it will display different info on the log it is watching. It display about the latest 10s:

  • The most viewed section, it's number of view and the total number of view
  • The most viewed query, it's number of hit and the total number of query
  • The total amount of data served by the server
  • The number of error served by the server

It display about the latest 2 minutes:

  • the total number of view

It also display a list of all the time the number of view during the latest two minutes crossed a certain threshold (default = 1000,but anything can be passed as an argument)

If the size of the console allows it it will also display a list of all section from the latest 10s.

You can generate basic fake logs using

$.\logGenerator.py [-h] (a list of log files to watch)

You can then controls the rate at which the log is generated (number of line per seconds).

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A command line tool to monitor your http log

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