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Atlas-dns-chaos-2-rtt-countries stats

Summary

  • This country does the following:
    1. Download and parses RIPE CHAOS atlas DNS measurements
    2. Produces a CSV file with the results, and enriches the results with:
      • probe's country
      • probe's continent
      • probe's subregion
      • probe's firmware version
      • probe's version (v1--v4)
    3. Produces ready to use aggregate stats file for the measurement, per country, in both JSON and CSV format, so OPS teams can easily integrate into their dashboards and other graphs tools

Demo

How-to for the above demo

#1. Clone the repository
$ git clone https://github.com/gmmoura/atlas-dns-chaos-2-rtt-countries.git

#go to tests dir
$ cd atlas-dns-chaos-2-rtt-countries/tests

#let's user a Atlas b-root measurement
#you can get these from https://atlas.ripe.net/measurements/$MEASUREMENT_ID/#!download
#WARNING: the variable start and stop below  are in UNIX timpestamp
#and set how much data you want to collect
#Start with a few minutes only

#here we are having 300s only (stop - start)

url="https://atlas.ripe.net/api/v2/measurements/10310/results/?start=1544572800&stop=1544573100&format=json"

#this variable tells the date the measurement was executed; we need it to download the appropriate
#probe datatade file
#format : YYYYMMDD

mdate=20181212

#read to go:
$ python3  ../chaos2countries/run.py  $url $mdate

Output files

The demo below will produce the following output files on your local dir:

  • 20181212-atlas-results.csv: a csv file with the parsed results from Atlas' JSON. In other words, a easier version to read from the $url above, enriched with metadata about gelocation and probes.
  • 20181212-stats.csv: stats filea for the file below, perduced per country
  • 20181212-stats.json: same as above, but in JSON

What can you do with this?

  • Use JSON or CSV output to produce nice World heatmaps (see demo visualization below)

Demo visualization

  • Go to visualization/
$ python render.py 
$ firefox rtt.html